CRAN/E | echoice2

echoice2

Choice Models with Economic Foundation

Installation

About

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) doi:10.1016/bs.hem.2019.04.002. Models with conjunctive screening are described in Kim, Hardt, Kim and Allenby (2022) doi:10.1016/j.ijresmar.2022.04.001. Models with set-size variation are described in Hardt and Kurz (2020) doi:10.2139/ssrn.3418383.

github.com/ninohardt/echoice2
ninohardt.de/echoice2/
Bug report File report

Key Metrics

Version 0.2.4
R ≥ 3.5
Published 2023-11-20 129 days ago
Needs compilation? yes
License MIT
License File
CRAN checks echoice2 results

Downloads

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Maintainer

Maintainer

Nino Hardt

me@ninohardt.com

Authors

Nino Hardt

aut / cre

Material

NEWS
Reference manual
Package source

Vignettes

Importing list-of-lists choice data and discrete choice modeling with echoice2
Volumetric Demand and Conjunctive Screening with echoice2

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

echoice2 archive

Depends

R ≥ 3.5
dplyr
ggplot2

Imports

Rcpp
parallel
magrittr
stats
graphics
stringr
purrr
tibble
tidyselect
tidyr
rlang
forcats

Suggests

knitr
rmarkdown
testthat
bayesm

LinkingTo

Rcpp
RcppArmadillo