easy.glmnet v1.2 (Release date: 2026-09-25)
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Changes that may modify previous results:

* "assign.folds" and "cv" with sites: there is a change in random generation for which results may differ from previous versions even if using the same seed.
* "glmnet_fit" for "binomial": default "type.measure" is now "deviance" (use type.measure = "class" to reproduce previous versions).
* "glmnet_fit" for "cox": models now have an artificial intercept (use cox.a0 = FALSE to reproduce previous versions).
* "glmnet_get.main.model": now only averages models with the same variables.
* "glmnet_predict": returns a vector.
* "impute.glmnet.matrix_fit": now reproducible with set.seed.

New features:

* New functions "glmnet_get.items.count", "simple.accuracy", "simple.accuracy.test", and "simple.calibration".
* New "print", "coef", and "predict" methods.
* New datasets "patients" and "new_patients", and four vignettes.

Other changes:

* "cv" returns an object of class "cv".
* Bug fixes for single-column inputs and models without variables.


easy.glmnet v1.1 (Release date: 2026-02-07)
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Changes:

* Minor improvements: added "..." argument to "glmnet_fit"" and "predict" alias for "glmnet_predict".
* Solved minor bugs in checking arguments.
* Removed detectCores() from a manual's example


easy.glmnet v1.0 (Release date: 2024-09-06)
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First version.