The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: 1.2.2
Depends: R (≥ 3.5.0)
Imports: methods
Suggests: tidyverse, ggplot2, MASS, emmeans, pscl, nnet, marginaleffects, ggpubr, knitr, rmarkdown, Epi, dplyr, ordinal, nlme, lme4
Published: 2024-09-04
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 (source, R code)
count.fit (source, R code)
diagn (source, R code)
first.diff.fitted (source, R code)
list.coef (source, R code)
margins.dat (source, R code)
margins.dat.clogit (source, R code)
margins.des (source, R code)
rubins.rule (source)
second.diff.fitted (source, R code)

Downloads:

Package source: catregs_1.2.2.tar.gz
Windows binaries: r-devel: catregs_1.2.2.zip, r-release: catregs_1.2.2.zip, r-oldrel: catregs_1.2.2.zip
macOS binaries: r-release (arm64): catregs_1.2.2.tgz, r-oldrel (arm64): catregs_1.2.2.tgz, r-release (x86_64): catregs_1.2.2.tgz, r-oldrel (x86_64): catregs_1.2.2.tgz
Old sources: catregs archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=catregs to link to this page.

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.