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srlars 1.0.0

• Initial stable release of package.

srlars 1.0.1

• Fix error related to exhaustion of number of predictors.

srlars 2.0.0

• Implementation of new algorithm for FSCRE.

srlars 2.0.1

• Fix README to reflect new version of srlars function.

srlars 3.0.0

• Breaking change: redesigned srlars() interface. Replaced robust=TRUE/FALSE with explicit preprocessing and CV controls (x_preprocess, y_preprocess, cor_estimator, cv_preprocess, cv_fit, cv_loss, cv_folds).
• No target leakage by default: predictor preprocessing is now performed on X only (no joint preprocessing of [y, X]).
• Added wrapping-based robust, PSD correlations (cor_estimator = "wrap"), based on cellWise::wrap().
• Added leakage-free foldwise CV preprocessing option (cv_preprocess = "foldwise") using cellWise::DDCpredict() and foldwise response transforms.
• Added robust arbiter options: Huber/trimmed/MSE scoring and optional Huber IRLS fitting inside the CV loop (cv_fit = "huber").
• Updated internal selection loop stopping logic to require strictly positive CV improvement before accepting a variable.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.