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dclone (version 1.3-1)

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

1.3-1

License

GPL-2

Maintainer

Peter Solymos

Last Published

February 9th, 2011

Functions in dclone (1.3-1)

dc.parfit

Parallel model fitting with data cloning
dclone

Cloning R objects
dcoptions

Setting Options
coef.mcmc.list

Methods for the 'mcmc.list' class
dctable

Retrieve descriptive statistics from fitted objects to evaluate convergence
clusterSplitSB

Size balancing
regmod

Exemplary MCMC list object
dclone-package

Data Cloning
nclones

Number of Clones
lambdamax.diag

Maximum Eigenvalue of the Posterior Variance-Covariance Matrix
write.jags.model

Write and remove model file
mcmcapply

Calculations on 'mcmc.list' objects
dc.fit

Iterative model fitting with data cloning
bugs.fit

Fit BUGS models with cloned data
clusterSize

Optimizing the number of workers
make.symmetric

Make a square matrix symmetric by averaging.
ovenbird

Abundances of ovenbird in Alberta
jags.parfit

Parallel computing with JAGS
jags.fit

Fit JAGS models with cloned data
update.mcmc.list

Automatic updating of an MCMC object
snowWrapper

Parallel wrapper function to call from within a function
errlines

Plot error bars