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-4.5)icdGLM_1.0.0.zip(r-4.4)icdGLM_1.0.0.zip(r-4.3)
icdGLM_1.0.0.tgz(r-4.5-any)icdGLM_1.0.0.tgz(r-4.4-any)icdGLM_1.0.0.tgz(r-4.3-any)
icdGLM_1.0.0.tar.gz(r-4.5-noble)icdGLM_1.0.0.tar.gz(r-4.4-noble)
icdGLM_1.0.0.tgz(r-4.4-emscripten)icdGLM_1.0.0.tgz(r-4.3-emscripten)
icdGLM.pdf |icdGLM.html
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:

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 159 downloads 3 exports 2 dependencies

Last updated 9 years agofrom:139cd71c9c. Checks:3 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 10 2025
R-4.5-winNOTEFeb 10 2025
R-4.5-macNOTEFeb 10 2025
R-4.5-linuxNOTEFeb 10 2025
R-4.4-winNOTEFeb 10 2025
R-4.4-macNOTEFeb 10 2025
R-4.3-winOKFeb 10 2025
R-4.3-macOKFeb 10 2025

Exports:expand_dataicdglmicdglm.fit

Dependencies:latticeMatrix