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mcmcoprobit.r

## sample from the posterior distribution of an ordered probit model ## via the data augmentation approach of Cowles (1996) ## ## KQ 1/25/2003 ## Modified to meet new developer specification 7/26/2004

mcmcpoisson.r

### sample from the posterior distribution of a Poisson regression ### model in R using linked C++ code in Scythe ### ### ADM 1/24/2003 ## KQ 3/17/2003 [bug fix] ## Modified to meet new developer spec

mcmcregress.r

## MCMCregress.R samples from the posterior distribution of a Gaussian ## linear regression model in R using linked C++ code in Scythe ## ## Original written by ADM and KQ 5/21/2002 ## Updated with he

mcmcsvdreg.r

## MCMCSVDreg.R samples from the posterior distribution of a Gaussian ## linear regression model in which the X matrix has been decomposed ## with an SVD. Useful for prediction when number of columns

mcmcmixfactanal.r

########################################################################## ## sample from the posterior distribution of a factor analysis model ## model in R using linked C++ code in Scythe. ## ## The

automate.r

## this function automates the Scythe C++ call making book-keeping ## much easier ## ## output.object: name of posterior sample that will be placed ## in the parent environment

hidden.r

########## hidden functions to help in model implementation ########## ## NOTE: these are not exported to the user and should always be ## used in model functions. As such, fixing problems her

scythe.r

########## Scythe Inter-Operation Functions ########## # writes a matrix out to an ASCII file that can be read by Scythe. # it puts the number of rows and columns in the first row # followed by the

mcmcpoissonchangepoint.r

## sample from the posterior distribution ## of a Poisson model with multiple changepoints ## using linked C++ code in Scythe 1.0 ## ## JHP 07/01/2007 ## ## Revised on 09/12/2007 JHP "MCMCpoissonC