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# CITATION 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 "uniLasso" in publications use:'
type: software
license: GPL-2.0-only
title: 'uniLasso: Univariate-Guided Sparse Regression'
version: '2.11'
doi: 10.32614/CRAN.package.uniLasso
abstract: Fit a univariate-guided sparse regression (lasso), by a two-stage procedure.
  The first stage fits p separate univariate models to the response. The second stage
  gives more weight to the more important univariate features, and preserves their
  signs. Conveniently, it returns an objects that inherits from class 'glmnet', so
  that all of the methods for 'glmnet' are available. See Chatterjee, Hastie and Tibshirani
  (2025) <https://doi.org/10.1162/99608f92.c79ff6db> for details.
authors:
- family-names: Hastie
  given-names: Trevor
  email: hastie@stanford.edu
- family-names: Tibshirani
  given-names: Rob
- family-names: Chatterjee
  given-names: Sourav
repository: https://trevorhastie.r-universe.dev
commit: 0f0a44ab4999cd0fb5d9686f125083a25fcf5561
date-released: '2026-01-13'
contact:
- family-names: Hastie
  given-names: Trevor
  email: hastie@stanford.edu