fixing checks NSE + documentation (not properly)

NAMESPACE

@@ -113,6 +113,7 @@ importFrom(stats,as.formula)
 importFrom(stats,contrasts)
 importFrom(stats,embed)
 importFrom(stats,formula)
+importFrom(stats,median)
 importFrom(stats,model.frame)
 importFrom(stats,model.matrix)
 importFrom(stats,predict)

R/explain.R

@@ -95,6 +95,18 @@
 #' Use `0` (default) for no verbosity, `1` for low verbose, and `2` for high verbose.
 #' TODO: Make this clearer when we end up fixing this and if they should force a progressr bar.
 #'
+#' @param paired_shap_sampling TODO: document
+#'
+#' @param adaptive TODO: document
+#'
+#' @param n_boot_samps TODO: document
+#'
+#' @param print_shapleyres TODO: document
+#'
+#' @param print_iter_info TODO: document
+#'
+#' @param shapley_reweighting TODO: document
+#'
 #' @param ... Further arguments passed to specific approaches
 #'
 #' @inheritDotParams setup_approach.empirical

R/finalize_explanation.R

@@ -356,7 +356,7 @@ bootstrap_shapley <- function(internal,dt_vS,n_boot_samps = 100,seed = 123){
 
     shapley_reweighting(X_boot, reweight=shapley_reweighting) # reweights the shapley weights by reference
 
-    W_boot <- shapr:::weight_matrix(
+    W_boot <- shapr::weight_matrix(
       X = X_boot,
       normalize_W_weights = TRUE,
       is_groupwise = FALSE

R/setup_computation.R

@@ -232,6 +232,10 @@ shapley_setup <- function(internal) {
 #' @param group_num List. Contains vector of integers indicating the feature numbers for the
 #' different groups.
 #'
+#' @param paired_shap_sampling TODO: document
+#'
+#' @param prev_feature_samples TODO: document
+#'
 #' @return A data.table that contains the following columns:
 #' \describe{
 #' \item{id_combination}{Positive integer. Represents a unique key for each combination. Note that the table

R/shapr-package.R

@@ -25,6 +25,8 @@
 #'
 #' @importFrom stats rnorm
 #'
+#' @importFrom stats median
+#'
 #' @importFrom Rcpp sourceCpp
 #'
 #' @keywords internal

R/zzz.R

@@ -107,7 +107,16 @@
       "x_train_torch",
       "self",
       "..current_comb",
-      "..regression.response_var"
+      "..regression.response_var",
+      "sample_freq",
+      "features_dup",
+      "features_dup_tmp",
+      "maxval",
+      "minval",
+      "req_samples",
+      "explain_id",
+      "id_combination_new",
+      "features_str"
     )
   )