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dclone (version 1.3-4)

Data Cloning and MCMC Tools for Maximum Likelihood Methods

Description

Low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods with support for JAGS, WinBUGS and OpenBUGS. With some functions for parallel MCMC computations.

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Version

Install

install.packages('dclone')

Monthly Downloads

681

Version

1.3-4

License

GPL-2

Maintainer

Peter Solymos

Last Published

August 23rd, 2011

Functions in dclone (1.3-4)

dc.fit

Iterative model fitting with data cloning
clusterSize

Optimizing the number of workers
bugs.fit

Fit BUGS models with cloned data
jags.fit

Fit JAGS models with cloned data
update.mcmc.list

Automatic updating of an MCMC object
dcoptions

Setting Options
write.jags.model

Write and remove model file
dc.parfit

Parallel model fitting with data cloning
ovenbird

Abundances of ovenbird in Alberta
make.symmetric

Make a square matrix symmetric by averaging.
lambdamax.diag

Maximum Eigenvalue of the Posterior Variance-Covariance Matrix
dctable

Retrieve descriptive statistics from fitted objects to evaluate convergence
dclone

Cloning R objects
jags.parfit

Parallel computing with JAGS
regmod

Exemplary MCMC list object
snowWrapper

Parallel wrapper function to call from within a function
errlines

Plot error bars
dclone-package

Data Cloning
nclones

Number of Clones
mcmcapply

Calculations on 'mcmc.list' objects
clusterSplitSB

Size balancing
mcmc.list-methods

Methods for the 'mcmc.list' class