Package: icdGLM 1.0.0

icdGLM: EM by the Method of Weights for Incomplete Categorical Data in Generlized Linear Models

Provides an estimator for generalized linear models with incomplete data for discrete covariates. The estimation is based on the EM algorithm by the method of weights by Ibrahim (1990) <doi:10.2307/2290013>.

Authors:Lorenz Brachtendorf <[email protected]>, Stephan Dlugosz <[email protected]>

icdGLM_1.0.0.tar.gz
icdGLM_1.0.0.zip(r-4.7)icdGLM_1.0.0.zip(r-4.6)icdGLM_1.0.0.zip(r-4.5)
icdGLM_1.0.0.tgz(r-4.6-any)icdGLM_1.0.0.tgz(r-4.5-any)
icdGLM_1.0.0.tar.gz(r-4.7-any)icdGLM_1.0.0.tar.gz(r-4.6-any)
icdGLM_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
icdGLM/json (API)

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

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 3 scripts 203 downloads 3 exports 2 dependencies

Last updated from:139cd71c9c. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE110
source / vignettesOK146
linux-release-x86_64NOTE112
macos-release-arm64NOTE95
macos-oldrel-arm64NOTE103
windows-develNOTE81
windows-releaseNOTE72
windows-oldrelNOTE73
wasm-releaseOK96

Exports:expand_dataicdglmicdglm.fit

Dependencies:latticeMatrix