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
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-09-01 22:41:09 UTC; naras
Repository: CRAN
Date/Publication: 2020-09-03 22:22:19 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 23:51:26 UTC; unix
Archs: pcLasso.so.dSYM
