Package: ScaleSpikeSlab 1.0

ScaleSpikeSlab: Scalable Spike-and-Slab

Scalable Spike-and-Slab is a scalable Gibbs sampling implementation for high dimensional Bayesian regression with the continuous spike-and-slab prior.

Authors:Niloy Biswas, Lester Mackey, Xiao-Li Meng

ScaleSpikeSlab_1.0.tar.gz
ScaleSpikeSlab_1.0.zip(r-4.7)ScaleSpikeSlab_1.0.zip(r-4.6)ScaleSpikeSlab_1.0.zip(r-4.5)
ScaleSpikeSlab_1.0.tgz(r-4.6-any)ScaleSpikeSlab_1.0.tgz(r-4.5-any)
ScaleSpikeSlab_1.0.tar.gz(r-4.7-any)ScaleSpikeSlab_1.0.tar.gz(r-4.6-any)
ScaleSpikeSlab_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ScaleSpikeSlab/json (API)

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

Bug tracker:https://github.com/niloyb/scalespikeslab/issues

On CRAN:

Conda:

3.65 score 6 stars 15 scripts 192 downloads 0 exports 9 dependencies

Last updated from:4e3bad3f5a. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE97
source / vignettesOK159
linux-release-x86_64NOTE99
macos-release-arm64NOTE128
macos-oldrel-arm64NOTE206
windows-develNOTE70
windows-releaseNOTE73
windows-oldrelNOTE57
wasm-releaseOK90

Exports:

Dependencies:alabamanleqslvnumDerivqrngRcppRcppArmadilloRcppEigenspacefillrTruncatedNormal