CRAN

mclogit 0.6.1

Mixed Conditional Logit Models

Released Sep 27, 2018 by Martin Elff

This package cannot yet be used with Renjin it depends on other packages which are not available: memisc 0.99.14.12

Dependencies

memisc 0.99.14.12 Matrix 1.2-14

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.