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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 "epsiwal" in publications use:'
type: software
license: LGPL-3.0-only
title: 'epsiwal: Exact Post Selection Inference with Applications to the Lasso'
version: 0.2.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.epsiwal
abstract: Implements the conditional estimation procedure of Lee, Sun, Sun and Taylor
  (2016) <https://doi.org/10.1214/15-AOS1371>. This procedure allows hypothesis testing
  on the mean of a normal random vector subject to linear constraints. Also supports
  computation of the MLE of the mean subject to the same constraints.
authors:
- family-names: Pav
  given-names: Steven E.
  email: shabbychef@gmail.com
  orcid: https://orcid.org/0000-0002-4197-6195
preferred-citation:
  type: manual
  title: 'epsiwal: Exact Post Selection Inference with Applications to the Lasso'
  authors:
  - family-names: Pav
    given-names: Steven E.
    orcid: https://orcid.org/0000-0002-4197-6195
    email: shabbychef@gmail.com
  year: '2026'
  notes: R package version 0.2.0
  url: https://github.com/shabbychef/epsiwal
repository: https://cran.r-universe.dev
repository-code: https://github.com/shabbychef/epsiwal
commit: 26f962dc151f874b32e7e7572fb95c9a6a998b55
url: https://github.com/shabbychef/epsiwal
date-released: '2026-06-08'
contact:
- family-names: Pav
  given-names: Steven E.
  email: shabbychef@gmail.com
  orcid: https://orcid.org/0000-0002-4197-6195