Package: FABInference 0.1

FABInference: FAB p-Values and Confidence Intervals

Frequentist assisted by Bayes (FAB) p-values and confidence interval construction. See Hoff (2019) <arxiv:1907.12589> "Smaller p-values via indirect information", Hoff and Yu (2019) <doi:10.1214/18-EJS1517> "Exact adaptive confidence intervals for linear regression coefficients", and Yu and Hoff (2018) <doi:10.1093/biomet/asy009> "Adaptive multigroup confidence intervals with constant coverage".

Authors:Peter Hoff

FABInference_0.1.tar.gz
FABInference_0.1.zip(r-4.7)FABInference_0.1.zip(r-4.6)FABInference_0.1.zip(r-4.5)
FABInference_0.1.tgz(r-4.6-any)FABInference_0.1.tgz(r-4.5-any)
FABInference_0.1.tar.gz(r-4.7-any)FABInference_0.1.tar.gz(r-4.6-any)
FABInference_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FABInference/json (API)

# Install 'FABInference' in R:
install.packages('FABInference', repos = c('https://pdhoff.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pdhoff/fabinference/issues

On CRAN:

Conda:

3.40 score 5 stars 1 scripts 142 downloads 8 exports 1 dependencies

Last updated from:7da4211bf1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK112
source / vignettesOK151
linux-release-x86_64OK104
macos-release-arm64OK88
macos-oldrel-arm64OK65
windows-develOK72
windows-releaseOK63
windows-oldrelOK74
wasm-releaseOK78

Exports:fabtzCIfabzCIglmFABlmFABmmleFHmmleFHPrssSplitsfabz

Dependencies:MASS