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 elff.eu> |
| BugReports: | http://github.com/melff/mclogit/issues |
| License: | GPL-2 |
| URL: | http://www.elff.eu/software/mclogit/,http://github.com/melff/mclogit/ |
| 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: mclogit_0.5.1.zip, r-release: mclogit_0.5.1.zip, r-oldrel: mclogit_0.5.1.zip |
| 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 imports: | mztwinreg |
| Reverse enhances: | prediction, stargazer |
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