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-4.5)epsiwal_0.1.0.zip(r-4.4)epsiwal_0.1.0.zip(r-4.3)
epsiwal_0.1.0.tgz(r-4.4-any)epsiwal_0.1.0.tgz(r-4.3-any)
epsiwal_0.1.0.tar.gz(r-4.5-noble)epsiwal_0.1.0.tar.gz(r-4.4-noble)
epsiwal_0.1.0.tgz(r-4.4-emscripten)epsiwal_0.1.0.tgz(r-4.3-emscripten)
epsiwal.pdf |epsiwal.html✨
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 2 years agofrom:12c0661ddf. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
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 |