Extremely efficient procedures for fitting regularization path with l0, l1, and truncated lasso penalty for linear regression and logistic regression models. This version is a completely new version compared with our previous version, which was mainly based on R. New core algorithms are developed and are now written in C++ and highly optimized.
|Depends:||R (≥ 3.5.0)|
|Imports:||foreach, doParallel, ggplot2|
|Suggests:||rmarkdown, knitr, testthat (≥ 3.0.0)|
|Author:||Chunlin Li [aut], Yu Yang [aut, cre], Chong Wu [aut]|
|Maintainer:||Yu Yang <yang6367 at umn.edu>|
|CRAN checks:||glmtlp results|
|Windows binaries:||r-devel: glmtlp_2.0.1.zip, r-release: glmtlp_2.0.1.zip, r-oldrel: glmtlp_2.0.1.zip|
|macOS binaries:||r-release (arm64): glmtlp_2.0.1.tgz, r-oldrel (arm64): glmtlp_2.0.1.tgz, r-release (x86_64): glmtlp_2.0.1.tgz, r-oldrel (x86_64): glmtlp_2.0.1.tgz|
|Old sources:||glmtlp archive|
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