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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
DOI: 10.32614/CRAN.package.epsiwal
Author: Steven E. Pav ORCID iD [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

Reverse dependencies:

Reverse imports: SharpeR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=epsiwal to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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