ChoiceModelR: Choice Modeling in R

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.

Install the latest version of this package by entering the following in R:
install.packages("ChoiceModelR")
AuthorRyan Sermas, assisted by John V. Colias, Ph.D. <DecisionAnalystR@decisionanalyst.com>
Date of publication2012-11-20 23:23:09
MaintainerJohn V Colias <jcolias@decisionanalyst.com>
LicenseGPL (>= 3)
Version1.2
http://www.decisionanalyst.com

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Files

MD5
R
R/ChoiceModelR.R
NAMESPACE
man
man/truebetas.Rd man/sharedatar.Rd man/datar.Rd man/choicemodelr.Rd man/ChoiceModelR-package.Rd
LICENSE
inst
inst/doc
inst/doc/ChoiceModelR-manual.pdf
INDEX
DESCRIPTION
data
data/truebetas.rda
data/sharedatar.rda
data/datar.rda

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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