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
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 197 downloads 3 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE111
source / vignettesOK145
linux-release-x86_64NOTE138
macos-release-arm64NOTE77
macos-oldrel-arm64NOTE75
windows-develNOTE98
windows-releaseNOTE84
windows-oldrelNOTE105
wasm-releaseOK90

Exports:expand_dataicdglmicdglm.fit

Dependencies:latticeMatrix