Package: BinaryEMVS 0.1

BinaryEMVS: Variable Selection for Binary Data Using the EM Algorithm

Implements variable selection for high dimensional datasets with a binary response variable using the EM algorithm. Both probit and logit models are supported. Also included is a useful function to generate high dimensional data with correlated variables.

Authors:John Snyder [aut, cre]

BinaryEMVS_0.1.tar.gz
BinaryEMVS_0.1.zip(r-4.7-any)BinaryEMVS_0.1.zip(r-4.6-any)BinaryEMVS_0.1.zip(r-4.5-any)
BinaryEMVS_0.1.tgz(r-4.6-any)BinaryEMVS_0.1.tgz(r-4.5-any)
BinaryEMVS_0.1.tar.gz(r-4.7-any)BinaryEMVS_0.1.tar.gz(r-4.6-any)
BinaryEMVS_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BinaryEMVS/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 309 downloads 2 exports 0 dependencies

Last updated from:b3c216d1e6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK92
source / vignettesOK195
linux-releaseOK95
macos-releaseOK120
macos-oldrelOK155
windows-develOK63
windows-releaseOK78
windows-oldrelOK72
wasm-releaseOK76

Exports:BinomialEMVSdata.sim

Dependencies: