Package: choicer
Title: Discrete Choice Models for Economic Applications
Version: 0.2.1.9000
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)
Roxygen: list(markdown = TRUE)
LinkingTo: Rcpp, RcppArmadillo
Imports: data.table, graphics, nloptr, randtoolbox (>= 1.31.0), Rcpp,
        stats, utils
Suggests: testthat (>= 3.1.7), bit64, numDeriv, future.apply, goftest,
        knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
Config/Needs/website: pkgdown
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake
Repository: https://fpcordeiro.r-universe.dev
Date/Publication: 2026-10-25 14:46:39 UTC
RemoteUrl: https://github.com/fpcordeiro/choicer
RemoteRef: HEAD
RemoteSha: 42fbe95e64e566bf3c4fe48234d58802022301a5
NeedsCompilation: yes
Packaged: 2026-10-25 16:45:26 UTC; root
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>