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 | 
| 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.html , 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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