R-glmnet (R/R-glmnet) Updated: 2 years, 7 months ago Add to my watchlist

Lasso and elastic-net regularized generalized linear models

Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression, Cox model, multiple-response Gaussian and the grouped multinomial regression.

Version: 4.1-8 License: GPL-2 GitHub
Maintainers No Maintainer
Categories science math R
Homepage https://glmnet.stanford.edu
Platforms darwin
Variants
  • clang13 (Build using the MacPorts clang 13 compiler)
  • clang14 (Build using the MacPorts clang 14 compiler)
  • clang15 (Build using the MacPorts clang 15 compiler)
  • clang16 (Build using the MacPorts clang 16 compiler)
  • clang17 (Build using the MacPorts clang 17 compiler)
  • clang18 (Build using the MacPorts clang 18 compiler)
  • clang19 (Build using the MacPorts clang 19 compiler)
  • clangdevel (Build using the MacPorts clang devel compiler)
  • g95 (Build using the g95 Fortran compiler)
  • gcc10 (Build using the MacPorts gcc 10 compiler)
  • gcc11 (Build using the MacPorts gcc 11 compiler)
  • gcc12 (Build using the MacPorts gcc 12 compiler)
  • gcc13 (Build using the MacPorts gcc 13 compiler)
  • gcc14 (Build using the MacPorts gcc 14 compiler)
  • gccdevel (Build using the MacPorts gcc devel compiler)
  • gfortran (Build using the MacPorts gcc 15 Fortran compiler)

"R-glmnet" depends on

lib (7)
R-CRAN-recommended
R-Rcpp
R-RcppEigen
R-foreach
R-shape
libgcc
libgcc14
run (1)
R
build (3)
R
clang-19
gcc14
test (5)
R-knitr
R-lars
R-rmarkdown
R-testthat
R-xfun

Ports that depend on "R-glmnet"




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