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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "pcLasso" in publications use:'
type: software
license: GPL-3.0-only
title: 'pcLasso: Principal Components Lasso'
version: '1.2'
doi: 10.32614/CRAN.package.pcLasso
abstract: 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>.
authors:
- family-names: Tibshirani
  given-names: Rob
  email: tibs@stanford.edu
- family-names: Friedman
  given-names: Jerome
- family-names: Tay
  given-names: Kenneth
- family-names: Tibshirani
  given-names: Robert
repository: https://cran.r-universe.dev
commit: 4047b5f890a76f103f197a8907698a2a3cb93cc2
url: https://arxiv.org/abs/1810.04651
date-released: '2020-09-03'
contact:
- family-names: Tibshirani
  given-names: Rob
  email: tibs@stanford.edu