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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 "picreg" in publications use:'
type: software
license: GPL-2.0-only
title: 'picreg: Variable Selection using the Pivotal Information Criterion'
version: 0.1.3
doi: 10.32614/CRAN.package.picreg
abstract: 'Sparse regression and classification via the Pivotal Information Criterion
  (PIC), an alternative to the Bayesian Information Criterion (BIC), cross-validation,
  and Lasso-based tuning. The regularization parameter is selected from a pivotal
  null-distribution statistic, eliminating the need for cross-validation and yielding
  sharper support recovery. Provides Fast Iterative Shrinkage-Thresholding Algorithm
  (FISTA) optimization for the L1, Smoothly Clipped Absolute Deviation (SCAD), and
  Minimax Concave Penalty (MCP) penalties across six response distributions: Gaussian,
  binomial, Poisson, exponential, Gumbel, and Cox. Under standard sparsity assumptions,
  the selector achieves a phase transition for exact support recovery, analogous to
  results in compressed sensing. See Sardy, van Cutsem and van de Geer (2026) <https://doi.org/10.48550/arXiv.2603.04172>.'
authors:
- family-names: Cutsem
  given-names: Maxime
  name-particle: van
  email: maxime.vancutsem@unige.ch
- family-names: Sardy
  given-names: Sylvain
  email: sylvain.sardy@unige.ch
repository: https://vcmaxouuu.r-universe.dev
repository-code: https://github.com/VcMaxouuu/picreg
commit: 6fa7e6c049b55e75ccb218639b2ce71fde80d754
url: https://vcmaxouuu.github.io/picreg/
date-released: '2026-06-03'
contact:
- family-names: Cutsem
  given-names: Maxime
  name-particle: van
  email: maxime.vancutsem@unige.ch