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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 "picasso" in publications use:'
type: software
license: GPL-3.0-only
title: 'picasso: Sparse Learning with Convex and Concave Penalties'
version: '1.5'
doi: 10.32614/CRAN.package.picasso
abstract: Fast tools for fitting sparse generalized linear models with convex penalties
  (lasso) and concave penalties (smoothly clipped absolute deviation and minimax concave
  penalty). Computation uses multi-stage convex relaxation and pathwise coordinate
  optimization with warm starts, active-set updates, and screening rules. Core solvers
  are implemented in C++, and coefficient paths are stored as sparse matrices for
  memory efficiency.
authors:
- family-names: Ge
  given-names: Jason
  email: jiange@princeton.edu
- family-names: Li
  given-names: Xingguo
- family-names: Jiang
  given-names: Haoming
- family-names: Wang
  given-names: Mengdi
- family-names: Zhang
  given-names: Tong
- family-names: Liu
  given-names: Han
- family-names: Zhao
  given-names: Tuo
  email: tourzhao@gatech.edu
repository: https://tourzhao-edu.r-universe.dev
commit: a82c3269a2ab86f10e041958cd62dbd3be24af8e
date-released: '2026-02-18'
contact:
- family-names: Zhao
  given-names: Tuo
  email: tourzhao@gatech.edu