CRAN/E | ChoiceModelR

ChoiceModelR

Choice Modeling in R

Installation

About

Implements an MCMC algorithm to estimate a hierarchical multinomial logit model with a normal heterogeneity distribution. The algorithm uses a hybrid Gibbs Sampler with a random walk metropolis step for the MNL coefficients for each unit. Dependent variable may be discrete or continuous. Independent variables may be discrete or continuous with optional order constraints. Means of the distribution of heterogeneity can optionally be modeled as a linear function of unit characteristics variables.

www.decisionanalyst.com/
Copyright Copyright (C) 2012 Decision Analyst, Inc.; 604 Avenue H East, Arlington, Texas 76011; www.decisionanalyst.com; 817-640-6166 (ChoiceModelR is a trademark of Decision Analyst, Inc.)

Key Metrics

Version 1.3.0
R ≥ 3.5.0
Published 2022-05-30 688 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks ChoiceModelR results

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Maintainer

Maintainer

John V Colias

jcolias@decisionanalyst.com

Authors

Ryan Sermas

aut

John V Colias

ctb / cre

Decision Analyst
Inc.

cph

Material

README
NEWS
Reference manual
Package source

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

ChoiceModelR archive

Depends

R ≥ 3.5.0

Suggests

bayesm
MASS
lattice
Matrix
testthat ≥ 3.0.0