Package: epsiwal 0.1.0
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.
Authors:
epsiwal_0.1.0.tar.gz
epsiwal_0.1.0.zip(r-4.7)epsiwal_0.1.0.zip(r-4.6)epsiwal_0.1.0.zip(r-4.5)
epsiwal_0.1.0.tgz(r-4.6-any)epsiwal_0.1.0.tgz(r-4.5-any)
epsiwal_0.1.0.tar.gz(r-4.7-any)epsiwal_0.1.0.tar.gz(r-4.6-any)
epsiwal_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
epsiwal/json (API)
| # Install 'epsiwal' in R: |
| install.packages('epsiwal', repos = c('https://shabbychef.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shabbychef/epsiwal/issues
Last updated from:12c0661ddf. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 111 | ||
| source / vignettes | OK | 127 | ||
| linux-release-x86_64 | OK | 103 | ||
| macos-release-arm64 | OK | 99 | ||
| macos-oldrel-arm64 | OK | 130 | ||
| windows-devel | OK | 73 | ||
| windows-release | OK | 256 | ||
| windows-oldrel | OK | 60 | ||
| wasm-release | OK | 82 |
Exports:ci_connormpconnormptruncnorm
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ci_connorm . | ci_connorm |
| Exact Post Selection Inference with Applications to the Lasso. | epsiwal |
| News for package 'epsiwal': | epsiwal-NEWS |
| pconnorm . | pconnorm |
| ptruncnorm . | ptruncnorm |
