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:Steven E. Pav [aut, cre]

epsiwal_0.1.0.tar.gz
epsiwal_0.1.0.zip(r-4.7-any)epsiwal_0.1.0.zip(r-4.6-any)epsiwal_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION
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

On CRAN:

Conda:

3.18 score 1 stars 1 packages 4 scripts 408 downloads 3 exports 0 dependencies

Last updated from:12c0661ddf. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK112
source / vignettesOK147
linux-releaseOK112
macos-releaseOK76
macos-oldrelOK65
windows-develOK109
windows-releaseOK56
windows-oldrelOK49
wasm-releaseOK112

Exports:ci_connormpconnormptruncnorm

Dependencies: