mclogit: Mixed Conditional Logit Models

Specification and estimation of conditional logit models of binary responses and multinomial counts is provided, with or without alternative- specific random effects. The current implementation of the estimator for random effects variances uses a Laplace approximation (or PQL) approach and thus should be used only if groups sizes are large.

Version: 0.5.1
Depends: stats, Matrix
Imports: memisc, methods
Published: 2017-07-17
Author: Martin Elff
Maintainer: Martin Elff <mclogit at>
License: GPL-2
NeedsCompilation: no
Materials: NEWS ChangeLog
CRAN checks: mclogit results


Reference manual: mclogit.pdf
Package source: mclogit_0.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: mclogit_0.5.1.tgz
OS X Mavericks binaries: r-oldrel: mclogit_0.5.1.tgz
Old sources: mclogit archive

Reverse dependencies:

Reverse imports: mztwinreg
Reverse enhances: prediction, stargazer


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