Package: mixl 1.3.3

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>.

Authors:Joseph Molloy [aut, cre]

mixl_1.3.3.tar.gz
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mixl.pdf |mixl.html
mixl/json (API)

# Install 'mixl' in R:
install.packages('mixl', repos = c('https://joemolloy.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/joemolloy/fast-mixed-mnl/issues

On CRAN:

Conda-Forge:

4.78 score 4 stars 8 scripts 740 downloads 12 exports 38 dependencies

Last updated 1 years agofrom:a5bb91c083. Checks:4 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 05 2025
R-4.5-win-x86_64NOTEFeb 05 2025
R-4.5-mac-x86_64NOTEFeb 05 2025
R-4.5-mac-aarch64NOTEFeb 05 2025
R-4.5-linux-x86_64NOTEFeb 05 2025
R-4.4-win-x86_64NOTEFeb 05 2025
R-4.4-mac-x86_64NOTEFeb 05 2025
R-4.4-mac-aarch64NOTEFeb 05 2025
R-4.3-win-x86_64OKFeb 05 2025
R-4.3-mac-x86_64OKFeb 05 2025
R-4.3-mac-aarch64OKFeb 05 2025

Exports:av_matrixcompileUtilityFunctioncreate_halton_drawsestimateextract_av_colsextract_indiv_datagenerate_default_availabilitiesposteriorsprobabilitiesspecify_modelsummary_texutilities

Dependencies:bitbit64clicliprcpp11crayondigestfansigenericsgluehmslatticelifecyclemagrittrmaxLikmiscToolsnumDerivpillarpkgconfigprettyunitsprogressR6randtoolboxRcppreadrrlangrngWELLsandwichstringistringrtibbletidyselecttzdbutf8vctrsvroomwithrzoo

Mixl User Guide

Rendered fromuser-guide.Rmdusingknitr::rmarkdownon Feb 05 2025.

Last update: 2021-02-26
Started: 2019-02-14