Package: eshrink 0.2.0

eshrink: Shrinkage for Effect Estimation

Computes shrinkage estimators for regression problems. Selects penalty parameter by minimizing bias and variance in the effect estimate, where bias and variance are estimated from the posterior predictive distribution. See Keller and Rice (2017) <doi:10.1093/aje/kwx225> for more details.

Authors:Kayleigh Keller [aut, cre]

eshrink_0.2.0.tar.gz
eshrink_0.2.0.zip(r-4.7-any)eshrink_0.2.0.zip(r-4.6-any)eshrink_0.2.0.zip(r-4.5-any)
eshrink_0.2.0.tgz(r-4.6-any)eshrink_0.2.0.tgz(r-4.5-any)
eshrink_0.2.0.tar.gz(r-4.7-any)eshrink_0.2.0.tar.gz(r-4.6-any)
eshrink_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
eshrink/json (API)

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

Bug tracker:https://github.com/kpkeller/eshrink/issues

On CRAN:

Conda:

2.70 score 1 stars 1 scripts 363 downloads 11 exports 11 dependencies

Last updated from:d04b400a5d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK161
source / vignettesOK340
linux-releaseOK140
macos-releaseOK184
macos-oldrelOK131
windows-develOK71
windows-releaseOK97
windows-oldrelOK79
wasm-releaseOK98

Exports:biasRidgecheck_CIboundestRidgefestLASSOfestRidgeinvertTestmseRidgesamplePosteriorsimLASSOvarRidgevcovfestRidge

Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival