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Fast estimation of discrete-choice models for applied economics. Likelihoods, analytical gradients and Hessians are implemented in C++ with 'OpenMP' parallelism, scaling efficiently to specifications with many alternative-specific constants. Post-estimation routines return predicted shares, own- and cross-price elasticities, and diversion ratios. Supports multinomial logit ('MNL'), mixed logit ('MXL'), and nested logit ('NL').
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | data.table, nloptr, randtoolbox, Rcpp, stats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0), numDeriv, future.apply, goftest |
| Published: | 2026-05-20 |
| DOI: | 10.32614/CRAN.package.choicer |
| Author: | Fernando Cordeiro [aut, cre, cph] |
| Maintainer: | Fernando Cordeiro <fernandolpcordeiro at gmail.com> |
| BugReports: | https://github.com/fpcordeiro/choicer/issues |
| License: | LGPL (≥ 3) |
| URL: | https://github.com/fpcordeiro/choicer |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | choicer results |
| Reference manual: | choicer.html , choicer.pdf |
| Package source: | choicer_0.1.0.tar.gz |
| Windows binaries: | r-devel: choicer_0.1.0.zip, r-release: choicer_0.1.0.zip, r-oldrel: choicer_0.1.0.zip |
| macOS binaries: | r-release (arm64): choicer_0.1.0.tgz, r-oldrel (arm64): choicer_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.