mixl: Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets

Specification and estimation of multinomial logit models. Large datasets and complex models are supported, with an intuitive syntax. Multinomial Logit Models, Mixed models, random coefficients and Hybrid Choice are all supported. For more information, see Molloy et al. (2019) <doi:10.3929/ethz-b-000334289>.

Version: 1.1
Imports: stats, readr, stringr (≥ 1.3.1), maxLik, numDeriv, Rcpp (≥ 0.12.19), randtoolbox, sandwich
Suggests: testthat, knitr, rmarkdown, mlogit, xtable, texreg
Published: 2019-11-06
Author: Joseph Molloy [aut, cre]
Maintainer: Joseph Molloy <joseph.molloy at ivt.baug.ethz.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mixl results


Reference manual: mixl.pdf
Vignettes: "Mixl User Guide"
Package source: mixl_1.1.tar.gz
Windows binaries: r-devel: mixl_1.1.zip, r-devel-gcc8: mixl_1.1.zip, r-release: mixl_1.1.zip, r-oldrel: mixl_1.1.zip
OS X binaries: r-release: mixl_1.1.tgz, r-oldrel: mixl_1.1.tgz


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