glmnetr
cranv0.6-3Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models. Cross validation informed Relaxed LASSO (or more generally elastic net), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Artificial Neural Network (ANN), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validat
License GPL-3strong copyleft0 versions1 maintainers11 deps209 weekly dl
https://CRAN.R-project.org/package=glmnetr45
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curl https://depscope.dev/api/check/cran/glmnetrFirst published · 2025-12-16 14:57:09
Last updated · 2025-12-16T13:00:02+00:00