Package: epsiwal
Authors@R: c(person(c("Steven", "E."), "Pav", 
    role=c("aut","cre"),
    email="shabbychef@gmail.com",
    comment = c(ORCID = "0000-0002-4197-6195")))
Version: 0.2.0
Date: 2026-06-08
License: LGPL-3
Title: Exact Post Selection Inference with Applications to the Lasso
BugReports: https://github.com/shabbychef/epsiwal/issues
Description: Implements the conditional estimation procedure of
  Lee, Sun, Sun and Taylor (2016) <doi: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.
Depends: R (>= 3.0.2)
Suggests: testthat
URL: https://github.com/shabbychef/epsiwal
Collate: 'ci_connorm.r' 'epsiwal.r' 'mle_connorm.r' 'pconnorm.r'
        'ptruncnorm.r' 'utils.r'
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-06-09 16:58:47 UTC; spav
Author: Steven E. Pav [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4197-6195>)
Maintainer: Steven E. Pav <shabbychef@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-10 05:21:20 UTC
Built: R 4.6.0; ; 2026-06-10 06:37:45 UTC; unix
