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 [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 |
Reference manual: | epsiwal.pdf |
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 imports: | SharpeR |
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