Package: icdGLM 1.0.2

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 [aut], Stephan Dlugosz [aut, cre]

icdGLM_1.0.2.tar.gz
icdGLM_1.0.2.zip(r-4.7-any)icdGLM_1.0.2.zip(r-4.6-any)icdGLM_1.0.2.zip(r-4.5-any)
icdGLM_1.0.2.tgz(r-4.6-any)icdGLM_1.0.2.tgz(r-4.5-any)
icdGLM_1.0.2.tar.gz(r-4.7-any)icdGLM_1.0.2.tar.gz(r-4.6-any)
icdGLM_1.0.2.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.

1.70 score 3 scripts 380 downloads 3 exports 2 dependencies

Last updated from:306ca47f5b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK98
source / vignettesOK161
linux-releaseOK99
macos-releaseOK210
macos-oldrelOK184
windows-develOK69
windows-releaseOK71
windows-oldrelOK62
wasm-releaseOK72

Exports:expand_dataicdglmicdglm.fit

Dependencies:latticeMatrix