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dclone (version 1.7-2)

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. Parallel MCMC computation is supported and can result in considerable speed-up.

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Version

Install

install.packages('dclone')

Monthly Downloads

681

Version

1.7-2

License

GPL-2

Homepage

http://cran.r-project.org/package=dclone

Maintainer

Peter Solymos

Last Published

May 3rd, 2012

Functions in dclone (1.7-2)

mcmc.list-methods

Methods for the 'mcmc.list' class

Cloning R objects

Create a JAGS model object

update.mcmc.list

Automatic updating of an MCMC object

Create a JAGS model object on parallel workers

Generate posterior samples in mcmc.list format

Plot error bars

Setting Options

Calculations on 'mcmc.list' objects

Number of Clones

Data Cloning Diagnostics

Dynamically load JAGS modules on parallel workers

Update jags models on parallel workers

Retrieve descriptive statistics from fitted objects to evaluate convergence

Parallel wrapper function to call from within a function

Iterative model fitting with data cloning

Advanced control over JAGS on parallel workers

Fit JAGS models with cloned data

Exemplary MCMC list object

Parallel RNGs for initial values

write.jags.model

Write and remove model file

Optimizing the number of workers

Size balancing version of mclapply

pairs.mcmc.list

Scatterplot Matrices for 'mcmc.list' Objects

Fit BUGS models with cloned data

Make a square matrix symmetric by averaging.

Parallel model fitting with data cloning

evalParallelArgument

Evaluates parallel argument

Parallel computing with JAGS

Generate posterior samples in 'mcmc.list' format on parallel workers

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