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>.

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Description file content

Package
mixl
Type
Package
Title
Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Version
1.1
Date
2019-11-05
Description
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) .
License
GPL (>= 2)
Encoding
UTF-8
Imports
stats, readr, stringr (>= 1.3.1), maxLik, numDeriv, Rcpp (>= 0.12.19), randtoolbox, sandwich
Suggests
testthat, knitr, rmarkdown, mlogit, xtable, texreg
VignetteBuilder
knitr
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-11-05 15:38:40 UTC; molloyj
Author
Joseph Molloy [aut, cre]
Maintainer
Joseph Molloy
Repository
CRAN
Date/Publication
2019-11-06 16:30:02 UTC

install.packages('mixl')

1.1

9 days ago

Joseph Molloy

GPL (>= 2)

Imports

stats, readr, stringr (>= 1.3.1), maxLik, numDeriv, Rcpp (>= 0.12.19), randtoolbox, sandwich

Suggests

testthat, knitr, rmarkdown, mlogit, xtable, texreg

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