An efficient procedure for feature selection for generalized linear models with L0 penalty, including linear, logistic, Poisson, gamma, inverse Gaussian regression. Adaptive ridge algorithms are used to fit the models.
Version: 0.1.6 Imports: Rcpp (≥ 0.12.6) LinkingTo: Rcpp, RcppArmadillo Published: 2020-02-06 DOI: 10.32614/CRAN.package.l0ara Author: Wenchuan Guo, Shujie Ma, Zhenqiu Liu Maintainer: Wenchuan Guo <wguo007 at ucr.edu> License: GPL-2 NeedsCompilation: yes Materials: README NEWS CRAN checks: l0ara results Documentation: Reference manual: l0ara.pdf Downloads: Package source: l0ara_0.1.6.tar.gz Windows binaries: r-devel: l0ara_0.1.6.zip, r-release: l0ara_0.1.6.zip, r-oldrel: l0ara_0.1.6.zip macOS binaries: r-release (arm64): l0ara_0.1.6.tgz, r-oldrel (arm64): l0ara_0.1.6.tgz, r-release (x86_64): l0ara_0.1.6.tgz, r-oldrel (x86_64): l0ara_0.1.6.tgz Old sources: l0ara archive Linking:Please use the canonical form https://CRAN.R-project.org/package=l0ara to link to this page.
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