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: 0.1.0 Date: 2019-06-28 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) . This procedure allows hypothesis testing on the mean of a normal random vector subject to linear constraints. Depends: R (>= 3.0.2) Suggests: testthat URL: https://github.com/shabbychef/epsiwal Collate: 'ci_connorm.r' 'epsiwal.r' 'pconnorm.r' 'ptruncnorm.r' 'utils.r' RoxygenNote: 7.1.1 Repository: https://shabbychef.r-universe.dev Date/Publication: 2022-05-10 05:28:12 UTC RemoteUrl: https://github.com/shabbychef/epsiwal RemoteRef: HEAD RemoteSha: 12c0661ddf63e84987d156b33eed6a191a250e8a NeedsCompilation: no Packaged: 2026-05-28 10:47:11 UTC; root Author: Steven E. Pav [aut, cre] (ORCID: ) Maintainer: Steven E. Pav