CRAN/E | mclogit

mclogit

Multinomial Logit Models, with or without Random Effects or Overdispersion

Installation

About

Provides estimators for multinomial logit models in their conditional logit and baseline logit variants, with or without random effects, with or without overdispersion. Random effects models are estimated using the PQL technique (based on a Laplace approximation) or the MQL technique (based on a Solomon-Cox approximation). Estimates should be treated with caution if the group sizes are small.

mclogit.elff.eu
github.com/melff/mclogit/
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Key Metrics

Version 0.9.6
Published 2022-10-27 549 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

Martin Elff

mclogit@elff.eu

Authors

Martin Elff

Material

NEWS
ChangeLog
Reference manual
Package source

In Views

MixedModels

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mclogit archive

Depends

stats
Matrix

Imports

memisc
methods

Suggests

MASS
nnet

Enhances

emmeans

Reverse Suggests

insight
marginaleffects
WeightIt

Reverse Enhances

prediction
stargazer