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license: LGPL-3.0-or-later
title: 'choicer: Discrete Choice Models for Economic Applications'
version: 0.1.0.9000
doi: 10.32614/CRAN.package.choicer
abstract: 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').
authors:
- family-names: Cordeiro
  given-names: Fernando
  email: fernandolpcordeiro@gmail.com
repository: https://fpcordeiro.r-universe.dev
repository-code: https://github.com/fpcordeiro/choicer
commit: a81780c1c3018191c502e6cd3b8d1f6d9416b371
url: https://github.com/fpcordeiro/choicer
date-released: '2026-06-10'
contact:
- family-names: Cordeiro
  given-names: Fernando
  email: fernandolpcordeiro@gmail.com