epsiwal: Exact Post Selection Inference with Applications to the Lasso
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.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.0.2) |
| Suggests: | testthat |
| Published: | 2019-07-02 |
| Author: | Steven E. Pav 
[aut, cre] |
| Maintainer: | Steven E. Pav <shabbychef at gmail.com> |
| BugReports: | https://github.com/shabbychef/epsiwal/issues |
| License: | LGPL-3 |
| URL: | https://github.com/shabbychef/epsiwal |
| NeedsCompilation: | no |
| Citation: | epsiwal citation info |
| Materials: | README ChangeLog |
| CRAN checks: | epsiwal results |
Documentation:
| Reference manual: | epsiwal.pdf |
Downloads:
| Package source: | epsiwal_0.1.0.tar.gz |
| Windows binaries: | r-devel: epsiwal_0.1.0.zip, r-release: epsiwal_0.1.0.zip, r-oldrel: epsiwal_0.1.0.zip |
| macOS binaries: | r-release (arm64): epsiwal_0.1.0.tgz, r-oldrel (arm64): epsiwal_0.1.0.tgz, r-release (x86_64): epsiwal_0.1.0.tgz, r-oldrel (x86_64): epsiwal_0.1.0.tgz |
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