[R/analysis_tools.R:7:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L7) *style:* **Lines should not be more than 80 characters.**
```r
#'     drawn_samples: a list of examples that were used in training the tree. This includes
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:8:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L8) *style:* **Lines should not be more than 80 characters.**
```r
#'     examples that were used in choosing splits, as well as the examples that populate the leaf
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:9:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L9) *style:* **Lines should not be more than 80 characters.**
```r
#'     nodes. Put another way, if honesty is enabled, this list includes both subsamples from the
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:12:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L12) *style:* **Lines should not be more than 80 characters.**
```r
#'     nodes: a list of objects representing the nodes in the tree, starting with the root node. Each
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:13:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L13) *style:* **Lines should not be more than 80 characters.**
```r
#'     node will contain an 'is_leaf' attribute, which indicates whether it is an interior or leaf node.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:14:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L14) *style:* **Lines should not be more than 80 characters.**
```r
#'     Interior nodes contain the attributes 'left_child' and 'right_child', which give the indices of
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:15:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L15) *style:* **Lines should not be more than 80 characters.**
```r
#'     their children in the list, as well as 'split_variable', and 'split_value', which describe the
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:16:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L16) *style:* **Lines should not be more than 80 characters.**
```r
#'     split that was chosen. Leaf nodes only have the attribute 'samples', which is a list of the
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:17:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L17) *style:* **Lines should not be more than 80 characters.**
```r
#'     training examples that the leaf contains. Note that if honesty is enabled, this list will only
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:18:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L18) *style:* **Lines should not be more than 80 characters.**
```r
#'     contain examples from the second subsample that was used to 'repopulate' the tree (J2 in the
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:79:39:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L79) *style:* **Variable or function name should be snake_case.**
```r
split_frequencies <- function(forest, max.depth = 4) {
                                      ^~~~~~~~~
```
[R/analysis_tools.R:81:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L81) *style:* **Variable or function name should be snake_case.**
```r
  feature.indices <- 1:ncol(forest$X.orig)
  ^~~~~~~~~~~~~~~
```
[R/analysis_tools.R:88:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L88) *style:* **Lines should not be more than 80 characters.**
```r
#' @param decay.exponent A tuning parameter that controls the importance of split depth.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:107:41:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L107) *style:* **Variable or function name should be snake_case.**
```r
variable_importance <- function(forest, decay.exponent = 2, max.depth = 4) {
                                        ^~~~~~~~~~~~~~
```
[R/analysis_tools.R:107:61:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L107) *style:* **Variable or function name should be snake_case.**
```r
variable_importance <- function(forest, decay.exponent = 2, max.depth = 4) {
                                                            ^~~~~~~~~
```
[R/analysis_tools.R:108:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L108) *style:* **Variable or function name should be snake_case.**
```r
  split.freq <- split_frequencies(forest, max.depth)
  ^~~~~~~~~~
```
[R/analysis_tools.R:109:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L109) *style:* **Variable or function name should be snake_case.**
```r
  split.freq <- split.freq / pmax(1L, rowSums(split.freq))
  ^~~~~~~~~~
```
[R/analysis_tools.R:114:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L114) *style:* **Lines should not be more than 80 characters.**
```r
#' Given a trained forest and test data, compute the training sample weights for each test point.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:116:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L116) *style:* **Lines should not be more than 80 characters.**
```r
#' During normal prediction, these weights are computed as an intermediate step towards producing estimates.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:117:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L117) *style:* **Lines should not be more than 80 characters.**
```r
#' This function allows for examining the weights directly, so they could be potentially be used as the
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:124:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L124) *style:* **Lines should not be more than 80 characters.**
```r
#'                not use the i-th training example).#' @param max.depth Maximum depth of splits to consider.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:125:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L125) *style:* **Lines should not be more than 80 characters.**
```r
#' @param num.threads Number of threads used in training. If set to NULL, the software
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:127:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L127) *style:* **Lines should not be more than 80 characters.**
```r
#' @return A sparse matrix where each row represents a test sample, and each column is a sample in the
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:128:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L128) *style:* **Lines should not be more than 80 characters.**
```r
#'         training data. The value at (i, j) gives the weight of training sample j for test sample i.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/analysis_tools.R:145:56:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L145) *style:* **Variable or function name should be snake_case.**
```r
get_sample_weights <- function(forest, newdata = NULL, num.threads = NULL) {
                                                       ^~~~~~~~~~~
```
[R/analysis_tools.R:146:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L146) *style:* **Variable or function name should be snake_case.**
```r
  num.threads <- validate_num_threads(num.threads)
  ^~~~~~~~~~~
```
[R/analysis_tools.R:148:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L148) *style:* **Variable or function name should be snake_case.**
```r
  forest.short <- forest[-which(names(forest) == "X.orig")]
  ^~~~~~~~~~~~
```
[R/analysis_tools.R:149:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L149) *style:* **Variable or function name should be snake_case.**
```r
  train.data <- create_data_matrices(forest[["X.orig"]])
  ^~~~~~~~~~
```
[R/analysis_tools.R:158:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/analysis_tools.R#L158) *style:* **Lines should not be more than 80 characters.**
```r
    compute_weights_oob(forest.short, train.data$default, train.data$sparse, num.threads)
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:21:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L21) *style:* **Lines should not be more than 80 characters.**
```r
#' @param num.trees.for.variance Number of trees used to estimate Var[Wi | Xi = x].
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:39:36:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L39) *style:* **Variable or function name should be snake_case.**
```r
                                   calibrate.weights = TRUE,
                                   ^~~~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:41:36:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L41) *style:* **Variable or function name should be snake_case.**
```r
                                   num.trees.for.variance = 500) {
                                   ^~~~~~~~~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:61:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L61) *style:* **Variable or function name should be snake_case.**
```r
  cluster.se <- length(forest$clusters) > 0
  ^~~~~~~~~~
```
[R/average_partial_effect.R:67:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L67) *style:* **Variable or function name should be snake_case.**
```r
  observation.weight <- observation_weights(forest)
  ^~~~~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:70:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L70) *style:* **Variable or function name should be snake_case.**
```r
  subset.X.orig <- forest$X.orig[subset, , drop = FALSE]
  ^~~~~~~~~~~~~
```
[R/average_partial_effect.R:71:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L71) *style:* **Variable or function name should be snake_case.**
```r
  subset.W.orig <- forest$W.orig[subset]
  ^~~~~~~~~~~~~
```
[R/average_partial_effect.R:72:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L72) *style:* **Variable or function name should be snake_case.**
```r
  subset.W.hat <- forest$W.hat[subset]
  ^~~~~~~~~~~~
```
[R/average_partial_effect.R:73:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L73) *style:* **Variable or function name should be snake_case.**
```r
  subset.Y.orig <- forest$Y.orig[subset]
  ^~~~~~~~~~~~~
```
[R/average_partial_effect.R:74:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L74) *style:* **Variable or function name should be snake_case.**
```r
  subset.Y.hat <- forest$Y.hat[subset]
  ^~~~~~~~~~~~
```
[R/average_partial_effect.R:75:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L75) *style:* **Variable or function name should be snake_case.**
```r
  tau.hat <- predict(forest)$predictions[subset]
  ^~~~~~~
```
[R/average_partial_effect.R:76:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L76) *style:* **Variable or function name should be snake_case.**
```r
  subset.clusters <- clusters[subset]
  ^~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:77:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L77) *style:* **Variable or function name should be snake_case.**
```r
  subset.weights <- observation.weight[subset]
  ^~~~~~~~~~~~~~
```
[R/average_partial_effect.R:80:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L80) *style:* **Variable or function name should be snake_case.**
```r
  cape.plugin <- weighted.mean(tau.hat, subset.weights)
  ^~~~~~~~~~~
```
[R/average_partial_effect.R:92:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L92) *style:* **Variable or function name should be snake_case.**
```r
  V.hat <- predict(variance_forest)$predictions
  ^~~~~
```
[R/average_partial_effect.R:93:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L93) *style:* **Variable or function name should be snake_case.**
```r
  debiasing.weights <- subset.weights * (subset.W.orig - subset.W.hat) / V.hat
  ^~~~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:99:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L99) *style:* **Variable or function name should be snake_case.**
```r
    A <- cbind(1, subset.W.orig, subset.W.hat) / sum(subset.weights)
    ^
```
[R/average_partial_effect.R:104:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L104) *style:* **Variable or function name should be snake_case.**
```r
    debiasing.weights <- debiasing.weights - correction
    ^~~~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:108:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L108) *style:* **Variable or function name should be snake_case.**
```r
  plugin.prediction <- subset.Y.hat + (subset.W.orig - subset.W.hat) * tau.hat
  ^~~~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:109:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L109) *style:* **Variable or function name should be snake_case.**
```r
  plugin.residual <- subset.Y.orig - plugin.prediction
  ^~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:110:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L110) *style:* **Variable or function name should be snake_case.**
```r
  cape.correction <- mean(debiasing.weights * plugin.residual)
  ^~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:111:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L111) *style:* **Variable or function name should be snake_case.**
```r
  cape.estimate <- cape.plugin + cape.correction
  ^~~~~~~~~~~~~
```
[R/average_partial_effect.R:115:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L115) *style:* **Lines should not be more than 80 characters.**
```r
    cape.se <- sqrt(mean((debiasing.weights * plugin.residual)^2) / (length(subset.W.orig) - 1))
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:115:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L115) *style:* **Variable or function name should be snake_case.**
```r
    cape.se <- sqrt(mean((debiasing.weights * plugin.residual)^2) / (length(subset.W.orig) - 1))
    ^~~~~~~
```
[R/average_partial_effect.R:117:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L117) *style:* **Variable or function name should be snake_case.**
```r
    debiasing.clust <- Matrix::sparse.model.matrix(
    ^~~~~~~~~~~~~~~
```
[R/average_partial_effect.R:121:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_partial_effect.R#L121) *style:* **Variable or function name should be snake_case.**
```r
    cape.se <- sqrt(sum(debiasing.clust^2) / length(debiasing.clust) /
    ^~~~~~~
```
[R/average_treatment_effect.R:7:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L7) *style:* **Lines should not be more than 80 characters.**
```r
#'   \item The (conditional) average treatment effect on the treated (target.sample = treated):
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:9:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L9) *style:* **Lines should not be more than 80 characters.**
```r
#'   \item The (conditional) average treatment effect on the controls (target.sample = control):
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:12:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L12) *style:* **Lines should not be more than 80 characters.**
```r
#'   sum_{i = 1}^n e(Xi) (1 - e(Xi)) E[Y(1) - Y(0) | X = Xi] / sum_{i = 1}^n e(Xi) (1 - e(Xi)),
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:48:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L48) *style:* **Lines should not be more than 80 characters.**
```r
#' # Estimate the conditional average treatment effect on the full sample (CATE).
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:51:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L51) *style:* **Lines should not be more than 80 characters.**
```r
#' # Estimate the conditional average treatment effect on the treated sample (CATT).
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:52:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L52) *style:* **Lines should not be more than 80 characters.**
```r
#' # We don't expect much difference between the CATE and the CATT in this example,
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:56:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L56) *style:* **Lines should not be more than 80 characters.**
```r
#' # Estimate the conditional average treatment effect on samples with positive X[,1].
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:60:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L60) *style:* **Lines should not be more than 80 characters.**
```r
#' @return An estimate of the average treatment effect, along with standard error.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:65:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L65) *style:* **Lines should not be more than 80 characters.**
```r
                                     target.sample = c("all", "treated", "control", "overlap"),
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:65:38:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L65) *style:* **Variable or function name should be snake_case.**
```r
                                     target.sample = c("all", "treated", "control", "overlap"),
                                     ^~~~~~~~~~~~~
```
[R/average_treatment_effect.R:68:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L68) *style:* **Variable or function name should be snake_case.**
```r
  target.sample <- match.arg(target.sample)
  ^~~~~~~~~~~~~
```
[R/average_treatment_effect.R:70:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L70) *style:* **Variable or function name should be snake_case.**
```r
  cluster.se <- length(forest$clusters) > 0
  ^~~~~~~~~~
```
[R/average_treatment_effect.R:100:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L100) *style:* **Variable or function name should be snake_case.**
```r
  observation.weight <- observation_weights(forest)
  ^~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:103:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L103) *style:* **Variable or function name should be snake_case.**
```r
  subset.W.orig <- forest$W.orig[subset]
  ^~~~~~~~~~~~~
```
[R/average_treatment_effect.R:104:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L104) *style:* **Variable or function name should be snake_case.**
```r
  subset.W.hat <- forest$W.hat[subset]
  ^~~~~~~~~~~~
```
[R/average_treatment_effect.R:105:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L105) *style:* **Variable or function name should be snake_case.**
```r
  subset.Y.orig <- forest$Y.orig[subset]
  ^~~~~~~~~~~~~
```
[R/average_treatment_effect.R:106:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L106) *style:* **Variable or function name should be snake_case.**
```r
  subset.Y.hat <- forest$Y.hat[subset]
  ^~~~~~~~~~~~
```
[R/average_treatment_effect.R:107:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L107) *style:* **Variable or function name should be snake_case.**
```r
  tau.hat.pointwise <- predict(forest)$predictions[subset]
  ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:108:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L108) *style:* **Variable or function name should be snake_case.**
```r
  subset.clusters <- clusters[subset]
  ^~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:109:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L109) *style:* **Variable or function name should be snake_case.**
```r
  subset.weights <- observation.weight[subset]
  ^~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:111:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L111) *style:* **Lines should not be more than 80 characters.**
```r
  # Address the overlap case separately, as this is a very different estimation problem.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:112:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L112) *style:* **Lines should not be more than 80 characters.**
```r
  # The method argument (AIPW vs TMLE) is ignored in this case, as both methods are effectively
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:113:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L113) *style:* **Lines should not be more than 80 characters.**
```r
  # the same here. Also, note that the overlap-weighted estimator generalizes naturally to the
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:114:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L114) *style:* **Lines should not be more than 80 characters.**
```r
  # non-binary W case -- see, e.g., Robinson (Econometrica, 1988) -- and so we do not require
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:118:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L118) *style:* **Variable or function name should be snake_case.**
```r
    W.residual <- subset.W.orig - subset.W.hat
    ^~~~~~~~~~
```
[R/average_treatment_effect.R:118:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L118) *warning:* **local variable ‘W.residual’ assigned but may not be used**
```r
    W.residual <- subset.W.orig - subset.W.hat
    ^~~~~~~~~~
```
[R/average_treatment_effect.R:119:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L119) *style:* **Variable or function name should be snake_case.**
```r
    Y.residual <- subset.Y.orig - subset.Y.hat
    ^~~~~~~~~~
```
[R/average_treatment_effect.R:119:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L119) *warning:* **local variable ‘Y.residual’ assigned but may not be used**
```r
    Y.residual <- subset.Y.orig - subset.Y.hat
    ^~~~~~~~~~
```
[R/average_treatment_effect.R:120:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L120) *style:* **Variable or function name should be snake_case.**
```r
    tau.ols <- lm(Y.residual ~ W.residual, weights = subset.weights)
    ^~~~~~~
```
[R/average_treatment_effect.R:121:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L121) *style:* **Variable or function name should be snake_case.**
```r
    tau.est <- coef(summary(tau.ols))[2, 1]
    ^~~~~~~
```
[R/average_treatment_effect.R:124:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L124) *style:* **Variable or function name should be snake_case.**
```r
      tau.se <- sqrt(sandwich::vcovCL(tau.ols, cluster = subset.clusters)[2, 2])
      ^~~~~~
```
[R/average_treatment_effect.R:126:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L126) *style:* **Variable or function name should be snake_case.**
```r
      tau.se <- sqrt(sandwich::vcovHC(tau.ols)[2, 2])
      ^~~~~~
```
[R/average_treatment_effect.R:134:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L134) *style:* **Lines should not be more than 80 characters.**
```r
      "Average treatment effect estimation only implemented for binary treatment.",
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:164:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L164) *style:* **Variable or function name should be snake_case.**
```r
  control.idx <- which(subset.W.orig == 0)
  ^~~~~~~~~~~
```
[R/average_treatment_effect.R:165:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L165) *style:* **Variable or function name should be snake_case.**
```r
  treated.idx <- which(subset.W.orig == 1)
  ^~~~~~~~~~~
```
[R/average_treatment_effect.R:169:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L169) *style:* **Variable or function name should be snake_case.**
```r
    tau.avg.raw <- weighted.mean(tau.hat.pointwise, subset.weights)
    ^~~~~~~~~~~
```
[R/average_treatment_effect.R:171:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L171) *style:* **Variable or function name should be snake_case.**
```r
    tau.avg.raw <- weighted.mean(
    ^~~~~~~~~~~
```
[R/average_treatment_effect.R:176:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L176) *style:* **Variable or function name should be snake_case.**
```r
    tau.avg.raw <- weighted.mean(
    ^~~~~~~~~~~
```
[R/average_treatment_effect.R:185:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L185) *style:* **Variable or function name should be snake_case.**
```r
  Y.hat.0 <- subset.Y.hat - subset.W.hat * tau.hat.pointwise
  ^~~~~~~
```
[R/average_treatment_effect.R:186:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L186) *style:* **Variable or function name should be snake_case.**
```r
  Y.hat.1 <- subset.Y.hat + (1 - subset.W.hat) * tau.hat.pointwise
  ^~~~~~~
```
[R/average_treatment_effect.R:191:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L191) *style:* **Lines should not be more than 80 characters.**
```r
      warning("To use TMLE, please install the package `sandwich`. Using AIPW instead.")
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:201:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L201) *style:* **Variable or function name should be snake_case.**
```r
      gamma.control.raw <- 1 / (1 - subset.W.hat[control.idx])
      ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:202:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L202) *style:* **Variable or function name should be snake_case.**
```r
      gamma.treated.raw <- 1 / subset.W.hat[treated.idx]
      ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:204:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L204) *style:* **Lines should not be more than 80 characters.**
```r
      gamma.control.raw <- subset.W.hat[control.idx] / (1 - subset.W.hat[control.idx])
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:204:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L204) *style:* **Variable or function name should be snake_case.**
```r
      gamma.control.raw <- subset.W.hat[control.idx] / (1 - subset.W.hat[control.idx])
      ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:205:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L205) *style:* **Variable or function name should be snake_case.**
```r
      gamma.treated.raw <- rep(1, length(treated.idx))
      ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:207:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L207) *style:* **Variable or function name should be snake_case.**
```r
      gamma.control.raw <- rep(1, length(control.idx))
      ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:208:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L208) *style:* **Lines should not be more than 80 characters.**
```r
      gamma.treated.raw <- (1 - subset.W.hat[treated.idx]) / subset.W.hat[treated.idx]
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:208:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L208) *style:* **Variable or function name should be snake_case.**
```r
      gamma.treated.raw <- (1 - subset.W.hat[treated.idx]) / subset.W.hat[treated.idx]
      ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:221:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L221) *style:* **Variable or function name should be snake_case.**
```r
    dr.correction.all <- subset.W.orig * gamma * (subset.Y.orig - Y.hat.1) -
    ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:223:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L223) *style:* **Variable or function name should be snake_case.**
```r
    dr.correction <- weighted.mean(dr.correction.all, subset.weights)
    ^~~~~~~~~~~~~
```
[R/average_treatment_effect.R:226:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L226) *style:* **Variable or function name should be snake_case.**
```r
      correction.clust <- Matrix::sparse.model.matrix(
      ^~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:230:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L230) *style:* **Variable or function name should be snake_case.**
```r
      sigma2.hat <- sum(correction.clust^2) / sum(subset.weights)^2 *
      ^~~~~~~~~~
```
[R/average_treatment_effect.R:233:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L233) *style:* **Variable or function name should be snake_case.**
```r
      sigma2.hat <- mean(dr.correction.all^2) / (length(dr.correction.all) - 1)
      ^~~~~~~~~~
```
[R/average_treatment_effect.R:237:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L237) *style:* **Variable or function name should be snake_case.**
```r
      eps.tmle.robust.0 <-
      ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:242:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L242) *style:* **Variable or function name should be snake_case.**
```r
      eps.tmle.robust.1 <-
      ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:247:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L247) *style:* **Lines should not be more than 80 characters.**
```r
      delta.tmle.robust.0 <- predict(eps.tmle.robust.0, newdata = data.frame(A = mean(1 / (1 - subset.W.hat))))
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:247:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L247) *style:* **Variable or function name should be snake_case.**
```r
      delta.tmle.robust.0 <- predict(eps.tmle.robust.0, newdata = data.frame(A = mean(1 / (1 - subset.W.hat))))
      ^~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:248:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L248) *style:* **Lines should not be more than 80 characters.**
```r
      delta.tmle.robust.1 <- predict(eps.tmle.robust.1, newdata = data.frame(A = mean(1 / subset.W.hat)))
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:248:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L248) *style:* **Variable or function name should be snake_case.**
```r
      delta.tmle.robust.1 <- predict(eps.tmle.robust.1, newdata = data.frame(A = mean(1 / subset.W.hat)))
      ^~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:249:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L249) *style:* **Variable or function name should be snake_case.**
```r
      dr.correction <- delta.tmle.robust.1 - delta.tmle.robust.0
      ^~~~~~~~~~~~~
```
[R/average_treatment_effect.R:252:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L252) *style:* **Lines should not be more than 80 characters.**
```r
        sigma2.hat <- sandwich::vcovCL(eps.tmle.robust.0, cluster = subset.clusters[subset.W.orig == 0]) *
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:252:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L252) *style:* **Variable or function name should be snake_case.**
```r
        sigma2.hat <- sandwich::vcovCL(eps.tmle.robust.0, cluster = subset.clusters[subset.W.orig == 0]) *
        ^~~~~~~~~~
```
[R/average_treatment_effect.R:254:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L254) *style:* **Lines should not be more than 80 characters.**
```r
          sandwich::vcovCL(eps.tmle.robust.1, cluster = subset.clusters[subset.W.orig == 1]) *
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:257:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L257) *style:* **Lines should not be more than 80 characters.**
```r
        sigma2.hat <- sandwich::vcovHC(eps.tmle.robust.0) * mean(1 / (1 - subset.W.hat))^2 +
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:257:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L257) *style:* **Variable or function name should be snake_case.**
```r
        sigma2.hat <- sandwich::vcovHC(eps.tmle.robust.0) * mean(1 / (1 - subset.W.hat))^2 +
        ^~~~~~~~~~
```
[R/average_treatment_effect.R:261:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L261) *style:* **Variable or function name should be snake_case.**
```r
      eps.tmle.robust.0 <-
      ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:264:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L264) *style:* **Lines should not be more than 80 characters.**
```r
            A = subset.W.hat[subset.W.orig == 0] / (1 - subset.W.hat[subset.W.orig == 0]),
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:268:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L268) *style:* **Lines should not be more than 80 characters.**
```r
      new.center <- mean(subset.W.hat[subset.W.orig == 1] / (1 - subset.W.hat[subset.W.orig == 1]))
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:268:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L268) *style:* **Variable or function name should be snake_case.**
```r
      new.center <- mean(subset.W.hat[subset.W.orig == 1] / (1 - subset.W.hat[subset.W.orig == 1]))
      ^~~~~~~~~~
```
[R/average_treatment_effect.R:269:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L269) *style:* **Variable or function name should be snake_case.**
```r
      delta.tmle.robust.0 <- predict(eps.tmle.robust.0,
      ^~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:272:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L272) *style:* **Variable or function name should be snake_case.**
```r
      dr.correction <- -delta.tmle.robust.0
      ^~~~~~~~~~~~~
```
[R/average_treatment_effect.R:274:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L274) *style:* **Lines should not be more than 80 characters.**
```r
        s.0 <- sandwich::vcovCL(eps.tmle.robust.0, cluster = subset.clusters[subset.W.orig == 0]) *
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:274:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L274) *style:* **Variable or function name should be snake_case.**
```r
        s.0 <- sandwich::vcovCL(eps.tmle.robust.0, cluster = subset.clusters[subset.W.orig == 0]) *
        ^~~
```
[R/average_treatment_effect.R:276:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L276) *style:* **Variable or function name should be snake_case.**
```r
        delta.1 <- Matrix::sparse.model.matrix(
        ^~~~~~~
```
[R/average_treatment_effect.R:280:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L280) *style:* **Lines should not be more than 80 characters.**
```r
        s.1 <- sum(delta.1^2) / sum(subset.W.orig == 1) / (sum(subset.W.orig == 1) - 1)
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:280:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L280) *style:* **Variable or function name should be snake_case.**
```r
        s.1 <- sum(delta.1^2) / sum(subset.W.orig == 1) / (sum(subset.W.orig == 1) - 1)
        ^~~
```
[R/average_treatment_effect.R:281:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L281) *style:* **Variable or function name should be snake_case.**
```r
        sigma2.hat <- s.0 + s.1
        ^~~~~~~~~~
```
[R/average_treatment_effect.R:283:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L283) *style:* **Variable or function name should be snake_case.**
```r
        sigma2.hat <- sandwich::vcovHC(eps.tmle.robust.0) * new.center^2 +
        ^~~~~~~~~~
```
[R/average_treatment_effect.R:284:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L284) *style:* **Lines should not be more than 80 characters.**
```r
          var(subset.Y.orig[subset.W.orig == 1] - Y.hat.1[subset.W.orig == 1]) / sum(subset.W.orig == 1)
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:287:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L287) *style:* **Variable or function name should be snake_case.**
```r
      eps.tmle.robust.1 <-
      ^~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:290:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L290) *style:* **Lines should not be more than 80 characters.**
```r
            A = (1 - subset.W.hat[subset.W.orig == 1]) / subset.W.hat[subset.W.orig == 1],
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:294:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L294) *style:* **Lines should not be more than 80 characters.**
```r
      new.center <- mean((1 - subset.W.hat[subset.W.orig == 0]) / subset.W.hat[subset.W.orig == 0])
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:294:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L294) *style:* **Variable or function name should be snake_case.**
```r
      new.center <- mean((1 - subset.W.hat[subset.W.orig == 0]) / subset.W.hat[subset.W.orig == 0])
      ^~~~~~~~~~
```
[R/average_treatment_effect.R:295:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L295) *style:* **Variable or function name should be snake_case.**
```r
      delta.tmle.robust.1 <- predict(eps.tmle.robust.1,
      ^~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:298:7:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L298) *style:* **Variable or function name should be snake_case.**
```r
      dr.correction <- delta.tmle.robust.1
      ^~~~~~~~~~~~~
```
[R/average_treatment_effect.R:300:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L300) *style:* **Variable or function name should be snake_case.**
```r
        delta.0 <- Matrix::sparse.model.matrix(
        ^~~~~~~
```
[R/average_treatment_effect.R:304:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L304) *style:* **Lines should not be more than 80 characters.**
```r
        s.0 <- sum(delta.0^2) / sum(subset.W.orig == 0) / (sum(subset.W.orig == 0) - 1)
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:304:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L304) *style:* **Variable or function name should be snake_case.**
```r
        s.0 <- sum(delta.0^2) / sum(subset.W.orig == 0) / (sum(subset.W.orig == 0) - 1)
        ^~~
```
[R/average_treatment_effect.R:305:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L305) *style:* **Lines should not be more than 80 characters.**
```r
        s.1 <- sandwich::vcovCL(eps.tmle.robust.1, cluster = subset.clusters[subset.W.orig == 1]) *
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:305:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L305) *style:* **Variable or function name should be snake_case.**
```r
        s.1 <- sandwich::vcovCL(eps.tmle.robust.1, cluster = subset.clusters[subset.W.orig == 1]) *
        ^~~
```
[R/average_treatment_effect.R:307:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L307) *style:* **Variable or function name should be snake_case.**
```r
        sigma2.hat <- s.0 + s.1
        ^~~~~~~~~~
```
[R/average_treatment_effect.R:309:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L309) *style:* **Lines should not be more than 80 characters.**
```r
        sigma2.hat <- var(subset.Y.orig[subset.W.orig == 0] - Y.hat.0[subset.W.orig == 0]) / sum(subset.W.orig == 0) +
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:309:9:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L309) *style:* **Variable or function name should be snake_case.**
```r
        sigma2.hat <- var(subset.Y.orig[subset.W.orig == 0] - Y.hat.0[subset.W.orig == 0]) / sum(subset.W.orig == 0) +
        ^~~~~~~~~~
```
[R/average_treatment_effect.R:319:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L319) *style:* **Variable or function name should be snake_case.**
```r
  tau.avg <- tau.avg.raw + dr.correction
  ^~~~~~~
```
[R/average_treatment_effect.R:320:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L320) *style:* **Variable or function name should be snake_case.**
```r
  tau.se <- sqrt(sigma2.hat)
  ^~~~~~
```
[R/average_treatment_effect.R:325:3:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L325) *style:* **Variable or function name should be snake_case.**
```r
  sample.weights <- if (is.null(forest$sample.weights)) {
  ^~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:331:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L331) *style:* **Variable or function name should be snake_case.**
```r
    observation.weight <- sample.weights
    ^~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:333:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L333) *style:* **Variable or function name should be snake_case.**
```r
    clust.factor <- factor(forest$clusters)
    ^~~~~~~~~~~~
```
[R/average_treatment_effect.R:334:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L334) *style:* **Lines should not be more than 80 characters.**
```r
    inverse.counts <- 1 / as.numeric(Matrix::colSums(Matrix::sparse.model.matrix(~ clust.factor + 0)))
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:334:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L334) *style:* **Variable or function name should be snake_case.**
```r
    inverse.counts <- 1 / as.numeric(Matrix::colSums(Matrix::sparse.model.matrix(~ clust.factor + 0)))
    ^~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:335:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L335) *style:* **Lines should not be more than 80 characters.**
```r
    observation.weight <- sample.weights * inverse.counts[as.numeric(clust.factor)]
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/average_treatment_effect.R:335:5:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/average_treatment_effect.R#L335) *style:* **Variable or function name should be snake_case.**
```r
    observation.weight <- sample.weights * inverse.counts[as.numeric(clust.factor)]
    ^~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:19:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L19) *style:* **Lines should not be more than 80 characters.**
```r
#' @param num.threads Number of threads used in training. If set to NULL, the software
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:21:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L21) *style:* **Lines should not be more than 80 characters.**
```r
#' @param min.node.size A target for the minimum number of observations in each tree leaf. Note that nodes
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:22:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L22) *style:* **Lines should not be more than 80 characters.**
```r
#'                      with size smaller than min.node.size can occur, as in the original randomForest package.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:24:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L24) *style:* **Lines should not be more than 80 characters.**
```r
#' @param honesty.fraction The fraction of data that will be used for determining splits if honesty = TRUE. Corresponds
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:25:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L25) *style:* **Lines should not be more than 80 characters.**
```r
#'                         to set J1 in the notation of the paper. When using the defaults (honesty = TRUE and
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:26:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L26) *style:* **Lines should not be more than 80 characters.**
```r
#'                         honesty.fraction = NULL), half of the data will be used for determining splits
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:27:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L27) *style:* **Lines should not be more than 80 characters.**
```r
#' @param ci.group.size The forest will grow ci.group.size trees on each subsample.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:28:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L28) *style:* **Lines should not be more than 80 characters.**
```r
#'                      In order to provide confidence intervals, ci.group.size must
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:30:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L30) *style:* **Lines should not be more than 80 characters.**
```r
#' @param alpha A tuning parameter that controls the maximum imbalance of a split.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:31:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L31) *style:* **Lines should not be more than 80 characters.**
```r
#' @param imbalance.penalty A tuning parameter that controls how harshly imbalanced splits are penalized.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:33:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L33) *style:* **Lines should not be more than 80 characters.**
```r
#' @param clusters Vector of integers or factors specifying which cluster each observation corresponds to.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:34:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L34) *style:* **Lines should not be more than 80 characters.**
```r
#' @param samples.per.cluster If sampling by cluster, the number of observations to be sampled from
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:35:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L35) *style:* **Lines should not be more than 80 characters.**
```r
#'                            each cluster when training a tree. If NULL, we set samples.per.cluster to the size
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:36:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L36) *style:* **Lines should not be more than 80 characters.**
```r
#'                            of the smallest cluster. If some clusters are smaller than samples.per.cluster,
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:37:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L37) *style:* **Lines should not be more than 80 characters.**
```r
#'                            the whole cluster is used every time the cluster is drawn. Note that
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:38:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L38) *style:* **Lines should not be more than 80 characters.**
```r
#'                            clusters with less than samples.per.cluster observations get relatively
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:39:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L39) *style:* **Lines should not be more than 80 characters.**
```r
#'                            smaller weight than others in training the forest, i.e., the contribution
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:40:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L40) *style:* **Lines should not be more than 80 characters.**
```r
#'                            of a given cluster to the final forest scales with the minimum of
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:41:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L41) *style:* **Lines should not be more than 80 characters.**
```r
#'                            the number of observations in the cluster and samples.per.cluster.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:42:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L42) *style:* **Lines should not be more than 80 characters.**
```r
#' @param tune.parameters If true, NULL parameters are tuned by cross-validation; if false
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:44:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L44) *style:* **Lines should not be more than 80 characters.**
```r
#' @param num.fit.trees The number of trees in each 'mini forest' used to fit the tuning model.
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:46:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L46) *style:* **Lines should not be more than 80 characters.**
```r
#' @param num.optimize.reps The number of random parameter values considered when using the model
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:48:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L48) *style:* **Lines should not be more than 80 characters.**
```r
#' @param boost.steps The number of boosting iterations. If NULL, selected by cross-validation
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:49:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L49) *style:* **Lines should not be more than 80 characters.**
```r
#' @param boost.error.reduction If boost.steps is NULL, the percentage of previous steps' error that must be estimated
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:50:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L50) *style:* **Lines should not be more than 80 characters.**
```r
#'                  by cross validation in order to take a new step, default 0.95
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:51:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L51) *style:* **Lines should not be more than 80 characters.**
```r
#' @param boost.max.steps The maximum number of boosting iterations to try when boost.steps NULL
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:52:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L52) *style:* **Lines should not be more than 80 characters.**
```r
#' @param boost.trees.tune If boost.steps is NULL, the number of trees used to test a new boosting step when tuning
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:55:1:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L55) *style:* **Lines should not be more than 80 characters.**
```r
#' @return A boosted regression forest object. $error contains the mean debiased error for each step, and $forests
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/boosted_regression_forest.R:80:39:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L80) *style:* **Variable or function name should be snake_case.**
```r
boosted_regression_forest <- function(X, Y,
                                      ^
```
[R/boosted_regression_forest.R:80:42:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L80) *style:* **Variable or function name should be snake_case.**
```r
boosted_regression_forest <- function(X, Y,
                                         ^
```
[R/boosted_regression_forest.R:81:39:](https://github.com/erikcs/grf/blob/7e5a6730e668a2571362eb6292e7627e0769c5e8/R/boosted_regression_forest.R#L81) *style:* **Variable or function name should be snake_case.**
```r
                                      sample.weights = NULL,
                                      ^~~~~~~~~~~~~~
```


Successfully aliased the URL <https://rabbitmq-now-forwarder-c10no5nj8.now.sh> to the following aliases.

* https://rabbitnowforwarder.tech
* https://rabbitmq-now-forwarder.discordservers1.now.sh
* https://rabbitmq-now-forwarder-git-master.discordservers1.now.sh


Successfully aliased the URL <https://next-blog-h3mju7y88.now.sh> to the following aliases.

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Mejor hacemos copi paste del codigo jsjsjsjs


Successfully aliased the URL <https://demo-stripe-distinct-usage-tracking-k7nwulrx2.now.sh> to the following aliases.

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* https://demo-stripe-distinct-usage-tracking.particular.now.sh
* https://demo-stripe-distinct-usage-tracking-git-master.particular.now.sh


Deployment failed with the following error:

~~~
You defined 2 builds that did not match any source files (please ensure they are NOT defined in .nowignore):
~~~


Successfully aliased the URL <https://monorepo-7s192whcl.now.sh> to the following aliases.

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As soon as the compiler is written and control words implemented, these will be redefined through the compiler. As it stands, they're here to help me debug new words without having to open gdb every time.


Successfully aliased the URL <https://researchconnect-hzd8wc2o6.now.sh> to the following aliases.

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Deployment failed with the following error:

~~~
You defined 1 build that did not match any source files (please ensure they are NOT defined in .nowignore):
~~~


id=zipsigner
name=ZipSigner & Zip for Android NDK
version=3.0
versionCode=301
author=osm0sis & topjohnwu @ xda-developers
description=Wrapped dexed zipsigner.jar, and static ARM zip and zipalign binaries for Android built with the NDK
support=https://forum.xda-developers.com/showthread.php?t=2239421
donate=https://forum.xda-developers.com/donatetome.php?u=4544860
template=1500


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hello worrld


I'm not sure I understand this commit. What are the security implications of this in dev?


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Hi, can you send a pull request to fix it?


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[SamSaffron posted](https://review.discourse.org/t/dev-by-default-disable-anon-impersonation-in-dev-environments/4002/3):

If you don't read the label and go and deploy Discourse in `development` mode, your state will be terrible, but not horrendous horrible.

I find `anon can impersonate anyone` is a feature we HAVE to opt in for, not a good default.


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If we simply return the result of filtered (Line 312), then we do not have a problem mapping over the resulting array. However, if we use the PreferredChoice array we have a problem trying to map over it.


[Guo Xiang Tan posted](https://review.discourse.org/t/dev-by-default-disable-anon-impersonation-in-dev-environments/4002/4):

[quote="SamSaffron, post:3, topic:4002"]
deploy Discourse in `development` mode,
[/quote]

This is the root cause of the problem IMO and I don't think we should fix development code when this is a deployment error.


快的不行，新加坡节点达到了18M/S的下载速度


[SamSaffron posted](https://review.discourse.org/t/dev-by-default-disable-anon-impersonation-in-dev-environments/4002/5):

The same rules already hold for better_errors which by default requires you whitelist IPs.

I am not trying to fix deployment of dev environment in production here. What I am trying to do is make sure that people take a **deliberate** action even in development when they want to turn on the: `security 100% off` feature.


[Guo Xiang Tan posted](https://review.discourse.org/t/dev-by-default-disable-anon-impersonation-in-dev-environments/4002/6):

But why does it require a deliberate action when security 100% off in development is totally safe?


Gangnam Style Data


@mansayk, it has "<adj><subst><px3sp>" repeated twice.  None of these tags should ever occur more than once in a given form.


tks. you are tot bung


Now could not deploy this pull request since it contains the following references to invalid secrets in the `env` sections of the `now.json` file:

* `api-url` (in env: `API_URL)`

Add those secrets or remove them from the `env` maps in the `now.json` file.


This needs a check for choked commands (just like above). Otherwise sendpacket will stay false as long as the aimbot has a valid target, which might lead to a timeout.


Deployment failed with the following error:

~~~
You defined 2 builds that did not match any source files (please ensure they are NOT defined in .nowignore):
~~~


[SamSaffron posted](https://review.discourse.org/t/dev-by-default-disable-anon-impersonation-in-dev-environments/4002/7):

Not following all:

Are you saying?

> I see zero point in introducing even rudimentary security measures in development mode?

You can be running a dev environment on a local machine in an internet cafe, suddenly everyone in your network can get admin your Discourse instance, default out-of-the-box.

I don't like that default.


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消してしまった箇所


fixes #21


# TWN1 : Technical Writing Definition
Technical writing is communication that focuses on providing readers with easy-to-understand information. Technical writing can have various purposes, but technical writing must always be informative and help its readers carry out an action. Unlike academic writing, technical writing is writing for a practical purpose. Technical writing requires that the writer clearly states the main idea of the document right off the bat, rather than creating a visual story for the reader. Technical writing format should include a hierarchical structure or a coordinate structure. This formatting makes it easy for readers to find exactly what they are looking for. Technical writing should always contain clear and concise language. Because technical writing can reach many different audiences, it is important to include language that can be understood by all. It is also important for a technical writer to understand different cultural communications and write accordingly. Lumen explains the importance of knowing the obvious and not-so-obvious cultural differences with the [Cultural Iceberg](https://blackboard.olemiss.edu/webapps/blackboard/content/contentWrapper.jsp?content_id=_1211588_1&displayName=Technical+Writing%2C+Introduction&course_id=_49947_1&navItem=content&href=https%3A%2F%2Fcourses.lumenlearning.com%2Folemiss-technicalwriting%2Fchapter%2Finformation-instructions-for-module-1_lecture-2%2F&cR2XilcGYOo=aQv1T9dKE1dqI53sZSlnstJ%2F%2Fqske7WGwzSHhNCrNxo%3D). The Cultural Iceberg shows *Institutional Behavior*, such as government, law, and language on top, and *People Culture* on bottom, which includes intelligence, status, time, space and humor.

One of the most important aspects of technical writing is **ethics**. Technical writers are explaining to their audiences how to properly performa a task. Technical writers cannot appeal to emotions, instead they must explain valid appeals to reason. Technical writers must explain accurate information and they also must accurately credit their sources. Technical writers must be sensitive to political correctness, generalizations, religious symbols, race and gender roles, and cultural awareness.


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[Guo Xiang Tan posted](https://review.discourse.org/t/dev-by-default-disable-anon-impersonation-in-dev-environments/4002/8):

Even if someone decides to expose their local environment over a network, the solution here doesn't solve the problem if they always have the env set in my profile.


主程序目录


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Parent contains a lot of SonarSource specific properties, so I'm not sure it is very interesting to depend on it. Maybe try to simply copy/paste the parts you are interested in (like the sonar-maven-packaging-plugin) and remove this dependency.


[![Visit Site](https://raw.githubusercontent.com/pantheon-systems/ci-drops-8/0.1.0/data/img/visit-site-36.png)](https://pr-2-gosl-info-d8.pantheonsite.io/)

Created multidev environment [pr-2](https://dashboard.pantheon.io/sites/de7b2b58-87f1-4ba1-b5b6-46cea03dc5a5#pr-2) for gosl-info-d8.


Sure, [here](https://github.com/timvideos/litex-buildenv/blob/5fbb99dbe4871bf0d82ccd61dc2952f8fb1e973a/scripts/enter-env.sh#L67) and [here](https://github.com/timvideos/litex-buildenv/blame/4383c27278e0ba6e56520a327982beb1c72527aa/README.md#L72)!

Also, debian-setup.sh failed on my stretch installation, complaining about unsigned releases from the ppa or something.  I found instead that "sudo apt-get install hdmi2usb-udev" satisfied the dependency.


Don't think this is necessary and can be re-written so that we dont check that the type is users.


[SamSaffron posted](https://review.discourse.org/t/dev-by-default-disable-anon-impersonation-in-dev-environments/4002/9):

I am 100% open to a solution that instead simply junks this route completely and we use something else:

```text
rake user:login[sam]

paste this into your web site

127.0.0.1/MAGICTOKEN
```


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Hi @ObesiD  - Thanks for learning about Watson Visual Recognition.  Very much appreciate the feedback.  I've clarified the Test Data steps to mention the confidence score returned by the Watson Visual Recognition custom classifier.  I pushed a change to VRMTEST.md in this repo and the tutorial will be updated later today after an editorial review.


Sorry, my ability of programming is very poor, when I look at http://mmlab.ie.cuhk.edu.hk/projects/FSRCNN.html, see the parameter Settings are as follows:
Settings m = 2 m = 3 m = 4
d = 48; s = 12 32.87 (8832) 32.88 (10128) 33.08 (11424)
d = 56; s = 12 33.00 (9872) 32.97 (11168) 33.16 (12464)
d = 48; s = 16 32.95 (11232) 33.10 (13536) 33.18 (15840)
d = 56; s = 16 33.01 (12336) 33.12 (14640) 33.17 (16944)
can you explain it to me again, please


The framework is empty, so I submitted the LTC on your behalf:
http://tests.stockfishchess.org/tests/view/5cf4a9a60ebc5925cf08adb9
I hope this is OK.  Good luck!

(I didn't submit one for your other simplification, because I wasn't sure if you wanted to go to LTC with the passed version or try your new tuned values at STC first.)


NICE WORK


[Guo Xiang Tan posted](https://review.discourse.org/t/dev-by-default-disable-anon-impersonation-in-dev-environments/4002/10):

That increases the friction in development significantly though. Perhaps we can just check for the IP of the server and only allow the same IPs through? Not sure?


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there's a gentoo bug available for this: https://bugs.gentoo.org/684674


Deployment failed with the following error:

~~~
You defined 2 builds that did not match any source files (please ensure they are NOT defined in .nowignore):
~~~


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ko's phone number


Create a class Polus which will make and hold pols
Polus will create three runners, each with a bird and attached Pol
Each runner will run play until the Pol fails.
Once all three are done it will delete the lowest score and middle. Copy the high score so you have 3 copies of it
Mutate two of the copies
rinse and repeat.
All the while Polus is drawing data and allowing control (Pause, speeding up, etc)

Future plans would include a way to save a Pol to use on programs for other computers.


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测试


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Great work, Awesome 🎉


Can we change it to `validate?: (xml: string) => Promise<boolean>;` to cover invalid xml inputs, instead of rejecting the promise?


LGTM


Thanks.


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Should add a way to allow HTML tag in a custom error message.


@vondele I'm not sure whether we should start the LTC yet; @protonspring may want to test the new tuned values at STC first.


meetme


meetme.github.io


@SuhairZain I wouldn't feel comfortable resolving merge conflicts since I'm only a consumer of this project but don't know the inner workings of the code well. I'm also not an iOS or Android dev, just a Javascript guy :)


what a legendary first commit


I have disabled the 'interactive input' for username/password so you will have to set them when calling the `login` function.


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aspects no está definido, error en la vista


@StarBrand


{ENTER}
[f03062019053853_download.txt](https://github.com/githubuserdlp/TEST/files/3246002/f03062019053853_download.txt)


don't think there's anything relevant in this .gitignore


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probably want to start with a version 0


Could you please help me fix it? Both forms "зуры" and "зурысы" should be analyzed the same way and pass tests. @IlnarSelimcan your opinion, please :)


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done.


Okay


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same with version


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renderer spelling


recipient spelling


i think rollup obsoletes microbundle, see if you can prune these dependencies since its a fresh project


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hello everyone out there


Morsy .. Well, now what should I do? Help please
sa

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Were you allowed time to sort out the GLSL shader issue so the thesis recieved fair marks? It is good work!


This also conflicts with a speedup by lolligerhans


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@Vizvezdenec Good catch!

(Copying @Lolligerhans into the conversation.)


[LINUX METERIAL.docx](https://github.com/pavankumar2921/koti/files/3246048/LINUX.METERIAL.docx)


mr.koti our organization send Linux meterial


Fet.


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[![Visit Site](https://raw.githubusercontent.com/pantheon-systems/ci-drops-8/0.1.0/data/img/visit-site-36.png)](https://ci-42-gosl-info-d8.pantheonsite.io/)

Created multidev environment [ci-42](https://dashboard.pantheon.io/sites/de7b2b58-87f1-4ba1-b5b6-46cea03dc5a5#ci-42) for gosl-info-d8.


Is this something to apply to GeoNetwork ?


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Deployment failed with the following error:

~~~
You are not owner of the domain "fueledbydreams.tech"
~~~


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Now could not deploy this pull request since the `package.json` file does not contain valid JSON.

  Click here to see the contents of `package.json`

{
  "name": "vuepress",
  "version": "1.0.0",
  "license": "MIT",
  "private": true,
  "scripts": {
    "dev": "vuepress dev docs",
    "build": "vuepress build docs",
    // "now-dev": "vuepress dev docs --port=$PORT",
		"now_dev": "vuepress dev docs --port=$PORT",
    "now-build": "npm run build && mv docs/.vuepress/dist dist",
		"now-dev": "bash deploy.sh"
  },
  "devDependencies": {
    "vuepress": "^0.14.4"
  }
}


Deployment failed with the following error:

~~~
The property `static` is not allowed in now.json when using Now 2.0 – please remove it.
~~~


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Ho han agafat  xP


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Nice work


I don't think that this should be optional because u can create a context object and then set a surface via setSurface() method. Otherwise this method gets quite useless.


Fet. (Aquesta secció potser la borrem)


> @bmillemathias Any chance you can add the clothes tag here for what kind of clothes they sell: men, women, or children?

Fixed


Fix to Beta 7


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- url：Outline-Client.exe
    sha512：aeww3vumKHDhV1SFi9 / 03Y6W1OwpcKVSelPAFX8wQmsdgEkp / 08u2iBDG7Sv / g8Ag9STf0oS1VoJ4EBJoGWQyg ==
    大小：39685488
    sha512：+ VMgvqXtLZGhHft8tE / i / TSfbkppBHUv1e2gufL0KOGL3i0NLsYukIWw8ITZ2qmpnvxy6p2XRtvynVtw41xqkw ==
    大小：38887984
路径：Outline-Client.exe
sha512：aeww3vumKHDhV1SFi9 / 03Y6W1OwpcKVSelPAFX8wQmsdgEkp / 08u2iBDG7Sv / g8Ag9STf0oS1VoJ4EBJoGWQyg ==
RELEASEDATE：' 2019-04-03T19：59：48.042Z '
stagingPercentage：20
sha512：+ VMgvqXtLZGhHft8tE / i / TSfbkppBHUv1e2gufL0KOGL3i0NLsYukIWw8ITZ2qmpnvxy6p2XRtvynVtw41xqkw ==
RELEASEDATE：' 2019-05-17T19：09：56.111Z '


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Deployment failed with the following error:

~~~
You defined 1 build that did not match any source files (please ensure they are NOT defined in .nowignore):
~~~


Сделай чтобы метод принимал тип в качестве параметра и возвращал количество поездов переданного типа. Выбери количество поездов переданного типа из `@trains` с помощью [select](https://ru.wikibooks.org/wiki/Ruby/%D0%A1%D0%BF%D1%80%D0%B0%D0%B2%D0%BE%D1%87%D0%BD%D0%B8%D0%BA/Array#Array#select)


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I am considering to add the equivalent of -diagnostics -trace -tokens to hdlConvertor.
Because some grammar for the moment verilogPreproc is using embedded action and predicate integrate target language code but systemVerilog may probably also need this kind of feature.

I though to control that with environment variable...


This commit doesn't work if the buffer is empty.
I'm using `ivy-posframe` and my `*scratch*` buffer is empty, so no command works until I insert a key.

> Debugger entered--Lisp error: (args-out-of-range 0 1 1)
>    font-at(0)
>    posframe--get-font-height(1)
>    posframe-show(" *ivy-posframe-buffer*" :font nil ;; more parameters


Лучше назвать `:stations`, т.к. это массив


`@stations = [start, finish]`


Можно в одну строчку
`attr_reader :speed, :wagons_count, :type`


Подразумевается что метод должен принимать приращение скорости.


Moses De Jong is a pedophile


Moses De Jong is a disgusting cradle robber


Remove send grid api key


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* https://realestate.yodata.me
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* https://rabbitnowforwarder.tech
* https://rabbitmq-now-forwarder.discordservers1.now.sh
* https://rabbitmq-now-forwarder-git-master.discordservers1.now.sh


Moses De Jong is a sick and demented pedophile that preys on young vulnerable girls


Moses de Jong is a sick and disgusting pedophile


Deployment failed with the following error:

~~~
The chosen alias "via-ubt.now.sh" is already in use by another account.
~~~


Сделай отдельно два метода для добавления и удаления


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* https://my-ui-hook.naught.now.sh
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Build failed. Check the logs and try again.

Logs:
https://console.cloud.google.com/gcr/builds/412b9860-2a4b-4ee4-a9c3-24b80ef10a97?project=153942441948


OK, let's wait, unless the framework is really empty, I propose.


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Good to see that arke is still living. :+1:


dherai ramro  haii


Thank You Love Walden, Very Cool! <3


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@jarun New version of googler has been uploaded to Debian archive, thanks.


Достаточно хранить только индекс. Зная индекс текущей станции всегда можно получить текущую

```
def current_station
  @route.stations[@station_number]
end
```

Напиши методы для получения следующей/предыдущей станции


You don't need to use `list` on variable `f` since it's already a list. :)


in Python, you can omit the parentheses


you can use a for loop to test it :P


Нужно еще добавить поезд на начальную станцию. Используй [self](http://rubydev.ru/2012/09/self-ruby/) чтобы передать текущий поезд в `add_train`


you can omit the parentheses here as well


and use a for loop to test


董慧燕提交0001


Сделай отдельные методы для движения вперед/назад

Алгоритм движения вперед должен быть примерно таким:
1. Проверить есть ли следующая станция. Если станции нет, то возврат из метода
2. Убрать поезд с текущей станции
3. Добавить поезд на следующую станцию
4. Увеличить индекс текущей станции

Аналогично для движения назад


Каждый класс должен быть в отдельном файле


You should use the `func` instead of `add_one` and no need to return with anything here.

```python
def foreach(func, iterable):
    for i in iterable:
        func(i)
```


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chane theme


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Great you already made a function for this.
Now how about when someone re-arranges the queue?
I like the approach, we should just make it a bit cleaner 👍


Build failed. Check the logs and try again.

Logs:
https://console.cloud.google.com/gcr/builds/e8f2eaeb-c526-4064-933a-ed15cc806aa4?project=153942441948


Thanks guys!


I'd separate this exercise into the following function calls.

```python
thanks_raw_messages = load_channel('./assets/gfa-team-thanks.json') # just read from the file
users = filter_users(thanks_raw_messages) # get the users
messages = filter_messages(thanks_raw_messages) # drop everything which is not a message, eg channel join
mentions = filter_mentions(messages)
reactions = filter_reactions(messages)
```


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他ソフトで出力されたKIF形式ファイルは、必ずしも指し手番号が行頭４桁になっているわけではありません。スペースでpaddingされていない指し手も読めるようにしていただきたいです。
http://kakinoki.o.oo7.jp/kif_format.html


Maybe you can directly use the `L.PM` constructor? I'm not familiar with the `leaflet.pm` code though.

But the way it works in `ipyleaflet` (as you might have seen) is that it is not up to the layer/control implementation to add the layer/control object to the map. The map will do it. The only thing you need to do is to initialize a `obj` property here, containing the layer/control object.
For example, this might work:
```javascript
this.obj = L.PM(
    drawPolyline:  !_.isEmpty(polyline),
    [...]
)
```


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* https://disputes.debtcollective.now.sh
* https://disputes-git-master.debtcollective.now.sh


Fixed, please try again


How about arbitrary attributes so as not to associate js with classes of topics. For example
`$('#category-filter').on('click', '[oc-btn]', function() {
$(this).parents('[oc-item]').remove();
});`


Good catch! I thought I had added it when removing 3.1.


THIS .GITIGNORE FILE CODE IS CREATED AT GITIGNORE.IO PAGE


The detailed steps are linked to in the readme, i.e. in this case click on the esp-open-sdk link, which will bring you to their GitHub repo's page, and follow their readme for installation. Use `make toolchain esptool libhal STANDALONE=n` to build instead of what their readme suggests and then add the built tools from .../bin/ to your PATH variable.


JUST TESTING...


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I'd use the combination of `get_name_start_J` and `get_boys` to reduce duplication


I get the following error even with version 1.7 PhpSpreadsheet.

Seems like $clr->alpha can be null. Unfortunately, the sheet this has a problem with, I'm not at liberty to share. Do you think a similar isset($clr->alpha) is warranted?

Fatal error:  Uncaught Error: Call to a member function attributes() on null in /var/www/html/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Reader/Xlsx.php:1732
Stack trace:
#0 /var/www/html/NBUIExcelReader.php(57): PhpOffice\PhpSpreadsheet\Reader\Xlsx->load('/var/www/html/u...')
#1 /var/www/html/NBUIExcelReader.php(92): NBUIExcelReader->loadSheetWithoutFilter()
#2 /var/www/html/upload-manager.php(61): NBUIExcelReader->readFullFile()
#3 {main}
  thrown in /var/www/html/vendor/phpoffice/phpspreadsheet/src/PhpSpreadsheet/Reader/Xlsx.php on line 1732


you could create a function to reduce this duplication like `my_print(text, iterable)` and call it like `my_print("boys with name start with j",  get_boys_start_with_J(students))`


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* https://devonbergercom-git-master.devonashleyberger.now.sh


d is a width of a first and last layers.
m is a number of hidden layers.
s is a width of hidden layers (if s=0 their width is d).


Use the previously created functions to reduce duplication


use previously created functions to reduce duplication