CRAN/E | mixl

mixl

Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets

Installation

About

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.

github.com/joemolloy/fast-mixed-mnl
Bug report File report

Key Metrics

Version 1.3.3
Published 2021-12-08 877 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks mixl results

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Maintainer

Maintainer

Joseph Molloy

joseph.molloy@ivt.baug.ethz.ch

Authors

Joseph Molloy

aut / cre

Material

Reference manual
Package source

Vignettes

"Mixl User Guide"

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mixl archive

Imports

maxLik
numDeriv
randtoolbox
Rcpp ≥ 0.12.19
readr
sandwich
stats
stringr ≥ 1.3.1

Suggests

knitr
mlogit
rmarkdown
testthat
texreg
xtable