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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
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