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-4.5)BinaryEMVS_0.1.zip(r-4.4)BinaryEMVS_0.1.zip(r-4.3)
BinaryEMVS_0.1.tgz(r-4.4-any)BinaryEMVS_0.1.tgz(r-4.3-any)
BinaryEMVS_0.1.tar.gz(r-4.5-noble)BinaryEMVS_0.1.tar.gz(r-4.4-noble)
BinaryEMVS_0.1.tgz(r-4.4-emscripten)BinaryEMVS_0.1.tgz(r-4.3-emscripten)
BinaryEMVS.pdf |BinaryEMVS.html✨
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:

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

2 exports 0.00 score 0 dependencies 2 scripts 181 downloads

Last updated 9 years agofrom:b3c216d1e6. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 17 2024
R-4.5-win	OK	Sep 17 2024
R-4.5-linux	OK	Sep 17 2024
R-4.4-win	OK	Sep 17 2024
R-4.4-mac	OK	Sep 17 2024
R-4.3-win	OK	Sep 17 2024
R-4.3-mac	OK	Sep 17 2024