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choicer: Discrete Choice Models for Economic Applications

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 (may not be active yet)
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

Documentation:

Reference manual: choicer.html , choicer.pdf

Downloads:

Package source: choicer_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=choicer to link to this page.

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.
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