Package: choicer
Title: Discrete Choice Models for Economic Applications
Version: 0.2.0
Authors@R: 
    person("Fernando", "Cordeiro", , "fernandolpcordeiro@gmail.com", role = c("aut", "cre", "cph"))
Description: Fast estimation of discrete-choice models for applied economics.
    Frequentist likelihoods, analytical gradients, and Hessians are implemented
    in C++ with 'OpenMP' parallelism, scaling efficiently to specifications with
    many alternative-specific constants. Compiled Gibbs samplers provide Bayesian
    multinomial probit and hierarchical models. Post-estimation routines cover
    predicted shares, own- and cross-price elasticities, diversion ratios,
    willingness to pay, and welfare counterfactuals. Supports multinomial logit
    ('MNL'), mixed logit ('MXL'), nested logit ('NL'), Bayesian multinomial probit
    ('MNP'), and hierarchical Bayesian multinomial logit and probit ('HMNL',
    'HMNP').
License: LGPL (>= 3)
URL: https://github.com/fpcordeiro/choicer,
        https://fpcordeiro.github.io/choicer/
BugReports: https://github.com/fpcordeiro/choicer/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: data.table, graphics, nloptr, randtoolbox, Rcpp, stats, utils
Suggests: testthat (>= 3.0.0), numDeriv, future.apply, goftest, knitr,
        rmarkdown
VignetteBuilder: knitr
LazyData: true
Config/Needs/website: pkgdown
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-07-14 01:41:27 UTC; fernando
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-14 02:40:02 UTC
Built: R 4.7.0; x86_64-w64-mingw32; 2026-07-27 01:46:54 UTC; windows
Archs: x64
