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dclone (version 1.2-0)

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 support for parallel computing.

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Version

Install

install.packages('dclone')

Monthly Downloads

470

Version

1.2-0

License

GPL-2

Maintainer

Peter Solymos

Last Published

August 28th, 2010

Functions in dclone (1.2-0)

clusterSeed

Parallel random seeds and kinds
clusterSize

Optimizing the number of workers
ovenbird

Abundances of ovenbird in Alberta
regmod

Exemplary MCMC list object
jags.fit

Fit JAGS models with cloned data
bugs.fit

Fit BUGS models with cloned data
nclones

Number of Clones
clusterSplitSB

Size balancing
write.jags.model

Write and remove model file
update.mcmc.list

Automatic updating of an MCMC object
dc.parfit

Parallel model fitting with data cloning
coef.mcmc.list

Methods for the 'mcmc.list' class
errlines

Plot error bars
jags.parfit

Parallel computing with JAGS
dc.fit

Iterative model fitting with data cloning
dctable

Retrieve descriptive statistics from fitted objects to evaluate convergence
dclone-package

Data Cloning
snowWrapper

Parallel wrapper function to call from within a function
mcmcapply

Calculations on 'mcmc.list' objects
lambdamax.diag

Maximum Eigenvalue of the Posterior Variance-Covariance Matrix
dclone

Cloning R objects
make.symmetric

Make a square matrix symmetric by averaging.