This package is considered a duplicate. The official version of this package is found at:https://shabbychef.r-universe.dev/epsiwal
Package: epsiwal 0.2.0
Steven E. Pav
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. Also supports computation of the MLE of the mean subject to the same constraints.
Authors:
epsiwal_0.2.0.tar.gz
epsiwal_0.2.0.tar.gz(r-4.7-any)epsiwal_0.2.0.tar.gz(r-4.6-any)
epsiwal_0.2.0.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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shabbychef/epsiwal/issues
Last updated from:26f962dc15. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | OK | 154 | ||
| linux-release-x86_64 | OK | 103 | ||
| wasm-release | OK | 86 |
Exports:ci_connormci_connorm_maxmle_connormmle_connorm_maxpconnormpconnorm_maxptruncnorm
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ci_connorm . | ci_connorm |
| ci_connorm_max . | ci_connorm_max |
| Exact Post Selection Inference with Applications to the Lasso. | epsiwal-package epsiwal |
| News for package 'epsiwal': | epsiwal-NEWS |
| mle_connorm . | mle_connorm |
| mle_connorm_max . | mle_connorm_max |
| pconnorm . | pconnorm |
| pconnorm_max . | pconnorm_max |
| ptruncnorm . | ptruncnorm |
