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: | 1.2.2 |
| Imports: | maxLik, numDeriv, randtoolbox, Rcpp (≥ 0.12.19), readr, sandwich, stats, stringr (≥ 1.3.1) |
| Suggests: | knitr, mlogit, rmarkdown, testthat, texreg, xtable |
| Published: | 2020-07-13 |
| 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: | yes |
| CRAN checks: | mixl results |
| Reference manual: | mixl.pdf |
| Vignettes: |
"Mixl User Guide" |
| Package source: | mixl_1.2.2.tar.gz |
| Windows binaries: | r-devel: mixl_1.2.2.zip, r-release: mixl_1.2.2.zip, r-oldrel: mixl_1.2.2.zip |
| macOS binaries: | r-release: mixl_1.2.2.tgz, r-oldrel: mixl_1.2.2.tgz |
| Old sources: | mixl archive |
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