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catregs: Post-Estimation Functions for Generalized Linear Mixed Models

Several functions for working with mixed effects regression models for limited dependent variables. The functions facilitate post-estimation of model predictions or margins, and comparisons between model predictions for assessing or probing moderation. Additional helper functions facilitate model comparisons and implements simulation-based inference for model predictions of alternative-specific outcome models. See also, Melamed and Doan (2024, ISBN: 978-1032509518).

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: methods
Suggests: tidyverse, ggplot2, MASS, emmeans, pscl, nnet, marginaleffects, ggpubr, knitr, rmarkdown, Epi, dplyr, ordinal, nlme, lme4
Published: 2024-06-11
DOI: 10.32614/CRAN.package.catregs
Author: David Melamed ORCID iD [aut, cre]
Maintainer: David Melamed <dmmelamed at gmail.com>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: catregs results

Documentation:

Reference manual: catregs.pdf
Vignettes: compare.margins
count.fit
diagn
first.diff.fitted
list.coef
lr.test
margins.dat
margins.dat.clogit
margins.des
rubins.rule
second.diff.fitted

Downloads:

Package source: catregs_0.2.0.tar.gz
Windows binaries: r-devel: catregs_0.2.0.zip, r-release: catregs_0.2.0.zip, r-oldrel: catregs_0.2.0.zip
macOS binaries: r-release (arm64): catregs_0.2.0.tgz, r-oldrel (arm64): catregs_0.2.0.tgz, r-release (x86_64): catregs_0.2.0.tgz, r-oldrel (x86_64): catregs_0.2.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.