Specification and estimation of conditional logit models of binary responses and multinomial counts is provided, with or without 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: | 0.6.1 |
| Depends: | stats, Matrix |
| Imports: | memisc, methods |
| Published: | 2018-09-27 |
| 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_0.6.1.tar.gz |
| Windows binaries: | r-devel: mclogit_0.6.1.zip, r-release: mclogit_0.6.1.zip, r-oldrel: mclogit_0.6.1.zip |
| OS X binaries: | r-release: mclogit_0.6.1.tgz, r-oldrel: mclogit_0.6.1.tgz |
| Old sources: | mclogit archive |
| Reverse imports: | mztwinreg |
| Reverse enhances: | prediction, stargazer |
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