Package: pcLasso
Type: Package
Title: Principal Components Lasso
Version: 1.2
Imports: svd
Author: Jerome Friedman, Kenneth Tay, Robert Tibshirani
Maintainer: Rob Tibshirani <tibs@stanford.edu>
Description: A method for fitting the entire regularization path of the
        principal components lasso for linear and logistic regression
        models. The algorithm uses cyclic coordinate descent in a
        path-wise fashion. See URL below for more information on the
        algorithm. See Tay, K., Friedman, J. ,Tibshirani, R., (2014)
        'Principal component-guided sparse regression'
        <arXiv:1810.04651>.
License: GPL-3
URL: https://arxiv.org/abs/1810.04651
Encoding: UTF-8
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-20 09:33:57 UTC; root
Repository: https://tibshirani.r-universe.dev
Date/Publication: 2020-09-03 21:22:19 UTC
RemoteUrl: https://github.com/cran/pcLasso
RemoteRef: HEAD
RemoteSha: 4047b5f890a76f103f197a8907698a2a3cb93cc2