# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "lassoinf" in publications use:'
type: software
license: BSD-3-Clause
title: 'lassoinf: Selective Inference for the Randomized Lasso'
version: 0.1.0
doi: 10.32614/CRAN.package.lassoinf
abstract: Confidence intervals and p-values for parameters chosen by the (randomized)
  lasso, valid after selection. Implements the polyhedral approach of Lee, Sun, Sun
  and Taylor (2016) <https://doi.org/10.1214/15-AOS1371>, the randomized response
  of Tian and Taylor (2018) <https://doi.org/10.1214/17-AOS1564> and the exact randomized
  inference of Panigrahi, Fry and Taylor (2024) <https://doi.org/10.1093/biomet/asae019>,
  with the truncated bivariate normal computations of Liu (2023) <https://doi.org/10.48550/arXiv.2308.10346>.
  Includes inference for user-specified estimands, screening of inactive variables
  and problems fitted by 'glmnet'. Computations use a 'C++' backend with matrix-free
  linear operators for wide designs.
authors:
- family-names: Taylor
  given-names: Jonathan
  email: jtaylo@stanford.edu
- family-names: Fry
  given-names: Kevin
- family-names: Panigrahi
  given-names: Snigdha
repository: https://jonathan-taylor-stanford.r-universe.dev
repository-code: https://github.com/jonathan-taylor/lassoinf
commit: 34ba9fb465c44a098cd64e12cd9bd0a0f8f9393e
url: https://github.com/jonathan-taylor/lassoinf
date-released: '2026-10-20'
contact:
- family-names: Taylor
  given-names: Jonathan
  email: jtaylo@stanford.edu