Choice Models with Economic Foundation

Implements choice models based on economic theory, including estimation using Markov chain Monte Carlo (MCMC), prediction, and more. Its usability is inspired by ideas from 'tidyverse'. Models include versions of the Hierarchical Multinomial Logit and Multiple Discrete-Continous (Volumetric) models with and without screening. The foundations of these models are described in Allenby, Hardt and Rossi (2019) . Models with conjunctive screening are described in Kim, Hardt, Kim and Allenby (2022) . Models with set-size variation are described in Hardt and Kurz (2020) .


Reference manual

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install.packages("echoice2")

0.2.5 by Nino Hardt, a year ago


https://github.com/ninohardt/echoice2, http://ninohardt.de/echoice2/


Report a bug at https://github.com/ninohardt/echoice2/issues


Browse source code at https://github.com/cran/echoice2


Authors: Nino Hardt [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp, parallel, magrittr, stats, graphics, purrr, tibble, tidyselect, tidyr, rlang, forcats

Depends on dplyr, ggplot2

Suggests knitr, rmarkdown, testthat, bayesm

Linking to Rcpp, RcppArmadillo


See at CRAN