[R] Update deprecated and removed parameter lists for xgboost()

R-package/R/utils.R

@@ -560,6 +560,29 @@ deprecated_train_params <- list(
   ),
   removed = character()
 )
+deprecated_xgboost_params <- list(
+  renamed = list(
+    'data' = 'x',
+    'label' = 'y',
+    'eta' = 'learning_rate',
+    'gamma' = 'min_split_loss',
+    'lambda' = 'reg_lambda',
+    'alpha' = 'reg_alpha',
+    'min.split.loss' = 'min_split_loss',
+    'reg.lambda' = 'reg_lambda',
+    'reg.alpha' = 'reg_alpha',
+    'watchlist' = 'evals'
+  ),
+  removed = c(
+    'params',
+    'save_period',
+    'save_name',
+    'xgb_model',
+    'callbacks',
+    'missing',
+    'maximize'
+  )
+)
 deprecated_dttree_params <- list(
   renamed = list('n_first_tree' = 'trees'),
   removed = c("feature_names", "text")

R-package/R/xgboost.R

@@ -1065,6 +1065,7 @@ check.early.stopping.rounds <- function(early_stopping_rounds, eval_set) {
 #' - `"shotgun"`: Parallel coordinate descent algorithm based on shotgun algorithm. Uses 'hogwild' parallelism and therefore produces a nondeterministic solution on each run.
 #' - `"coord_descent"`: Ordinary coordinate descent algorithm. Also multithreaded but still produces a deterministic solution. When the `device` parameter is set to `"cuda"` or `"gpu"`, a GPU variant would be used.
 #' @inheritParams xgb.params
+#' @inheritParams xgb.train
 #' @return A model object, inheriting from both `xgboost` and `xgb.Booster`. Compared to the regular
 #'   `xgb.Booster` model class produced by [xgb.train()], this `xgboost` class will have an
 #'
@@ -1140,9 +1141,11 @@ xgboost <- function(
   tweedie_variance_power = NULL,
   huber_slope = NULL,
   quantile_alpha = NULL,
-  aft_loss_distribution = NULL
+  aft_loss_distribution = NULL,
+  ...
 ) {
 # nolint end
+  check.deprecation(deprecated_xgboost_params, match.call(), ...)
   params <- as.list(environment())
   params <- params[
     (names(params) %in% formalArgs(xgb.params))