Functions for estimating models using a Hierarchical Bayesian (HB) framework. The flexibility comes in allowing the user to specify the likelihood function directly instead of assuming predetermined model structures. Types of models that can be estimated with this code include the family of discrete choice models (Multinomial Logit, Mixed Logit, Nested Logit, Error Components Logit and Latent Class) as well ordered response models like ordered probit and ordered logit. In addition, the package allows for flexibility in specifying parameters as either fixed (nonvarying across individuals) or random with continuous distributions. Parameter distributions supported include normal, positive/negative lognormal, positive/negative censored normal, and the Johnson SB distribution. Kenneth Train's Matlab and Gauss code for doing Hierarchical Bayesian estimation has served as the basis for a few of the functions included in this package. These Matlab/Gauss functions have been rewritten to be optimized within R. Considerable code has been added to increase the flexibility and usability of the code base. Train's original Gauss and Matlab code can be found here: http://elsa.berkeley.edu/Software/abstracts/train1006mxlhb.html See Train's chapter on HB in Discrete Choice with Simulation here: http://elsa.berkeley.edu/books/choice2.html; and his paper on using HB with nonnormal distributions here: http://eml.berkeley.edu//~train/trainsonnier.pdf.
Author  Jeff Dumont [aut, cre], Jeff Keller [aut], Chase Carpenter [ctb] 
Date of publication  20151216 23:23:46 
Maintainer  Jeff Dumont <Jeff.Dumont@rsginc.com> 
License  GPL3 
Version  1.1.2 
URL  https://github.com/RSGInc/RSGHB 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

All man pages Function index File listing
Man pages  

choicedata: A synthetic discrete choice dataset  
doHB: Estimate a Hierarchical Bayesian Model  
plot: Plot RSGHB Model Object Components  
writeModel: Write an RSGHB Model Object as Series of CSVs 
Functions  

checkModel  Source code 
choicedata  Man page 
doHB  Man page Source code 
hb  Source code 
nextA  Source code 
nextB  Source code 
nextD  Source code 
nextDind  Source code 
nextF  Source code 
onLoad  Source code 
plot  Man page 
plot.RSGHB  Man page Source code 
plotC  Source code 
prepareModel  Source code 
progreport  Source code 
trans  Source code 
writeModel  Man page Source code 
Files  

inst
 
inst/doc
 
inst/doc/RSGHB_HowTo.pdf
 
inst/doc/RSGHB_HowTo.R  
inst/doc/RSGHB_HowTo.rnw
 
src
 
src/RSGHB.c
 
NAMESPACE
 
NEWS
 
data
 
data/choicedata.txt.gz
 
R
 
R/plotC.R  
R/hb.R  
R/onLoad.R  
R/nextA.R  
R/prepareModel.R  
R/methods.R  
R/writeModel.R  
R/doHB.R  
R/nextD.R  
R/nextF.R  
R/checkModel.R  
R/progreport.R  
R/trans.R  
R/nextB.R  
R/nextDind.R  
vignettes
 
vignettes/MNL_markovChains.png
 
vignettes/RSGHB_HowToconcordance.tex
 
vignettes/MMNL_MarkovChains.png
 
vignettes/RSGHB_HowTo.rnw
 
MD5
 
build
 
build/vignette.rds
 
DESCRIPTION
 
man
 
man/writeModel.Rd  
man/doHB.Rd  
man/choicedata.Rd  
man/plot.Rd  
tools
 
tools/Distribution_Converter.R 
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