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:
mixl_1.3.3.tar.gz
mixl_1.3.3.zip(r-4.5)mixl_1.3.3.zip(r-4.4)mixl_1.3.3.zip(r-4.3)
mixl_1.3.3.tgz(r-4.4-x86_64)mixl_1.3.3.tgz(r-4.4-arm64)mixl_1.3.3.tgz(r-4.3-x86_64)mixl_1.3.3.tgz(r-4.3-arm64)
mixl_1.3.3.tar.gz(r-4.5-noble)mixl_1.3.3.tar.gz(r-4.4-noble)
mixl_1.3.3.tgz(r-4.4-emscripten)mixl_1.3.3.tgz(r-4.3-emscripten)
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
Last updated 1 years agofrom:a5bb91c083. Checks:OK: 4 NOTE: 5. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 07 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 07 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 07 2024 |
| R-4.3-win-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:av_matrixcompileUtilityFunctioncreate_halton_drawsestimateextract_av_colsextract_indiv_datagenerate_default_availabilitiesposteriorsprobabilitiesspecify_modelsummary_texutilities
Dependencies:bitbit64clicliprcpp11crayondigestfansigenericsgluehmslatticelifecyclemagrittrmaxLikmiscToolsnumDerivpillarpkgconfigprettyunitsprogressR6randtoolboxRcppreadrrlangrngWELLsandwichstringistringrtibbletidyselecttzdbutf8vctrsvroomwithrzoo
