checkInputData: Check Input Data for srlars Function

In srlars: Fast and Scalable Cellwise-Robust Ensemble

Check Input Data for srlars Function

Description

Internal helper function to validate arguments passed to srlars. Checks types, dimensions, and logical constraints.

Usage

checkInputData(
  x,
  y,
  n_models,
  tolerance,
  max_predictors,
  x_preprocess,
  y_preprocess,
  cor_estimator,
  cv_preprocess,
  cv_loss,
  cv_fit,
  cv_folds,
  compute_coef,
  max_share = NULL,
  n_min = NULL
)

Arguments

x	Design matrix.
y	Response vector.
n_models	Number of models in the ensemble.
tolerance	Relative improvement tolerance for stopping.
max_predictors	Maximum total number of variables to select.
x_preprocess	X cleaning method.
y_preprocess	y cleaning method.
cor_estimator	Correlation method.
cv_preprocess	Foldwise or global CV.
cv_loss	Arbiter loss function.
cv_fit	Arbiter fit function.
cv_folds	Number of CV folds.
compute_coef	Logical.
max_share	Maximum number of sub-models a variable may appear in. NULL skips this check.
n_min	Minimum number of variables each sub-model is guaranteed. NULL skips this check.

Value

NULL. Stops execution with an error message if invalid inputs are detected.

srlars documentation built on Sept. 23, 2026, 5:10 p.m.