spcr: Sparse Principal Component Regression

The sparse principal component regression is computed. The regularization parameters are optimized by cross-validation.

Version: 2.1.1
Published: 2022-10-16
Author: Shuichi Kawano
Maintainer: Shuichi Kawano <skawano at math.kyushu-u.ac.jp>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://doi.org/10.1016/j.csda.2015.03.016, https://doi.org/10.1016/j.csda.2018.03.008, https://sites.google.com/site/shuichikawanoen/software
NeedsCompilation: yes
CRAN checks: spcr results


Reference manual: spcr.pdf


Package source: spcr_2.1.1.tar.gz
Windows binaries: r-prerel: spcr_2.1.1.zip, r-release: spcr_2.1.1.zip, r-oldrel: spcr_2.1.1.zip
macOS binaries: r-prerel (arm64): spcr_2.1.1.tgz, r-release (arm64): spcr_2.1.1.tgz, r-oldrel (arm64): spcr_2.1.1.tgz, r-prerel (x86_64): spcr_2.1.1.tgz, r-release (x86_64): spcr_2.1.1.tgz
Old sources: spcr archive


Please use the canonical form https://CRAN.R-project.org/package=spcr to link to this page.