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dclone (version 1.7-1)

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. 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

1.7-1

License

GPL-2

Homepage

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

Maintainer

Peter Solymos

Last Published

February 8th, 2012

Functions in dclone (1.7-1)

Iterative model fitting with data cloning

Number of Clones

Parallel wrapper function to call from within a function

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

Setting Options

update.mcmc.list

Automatic updating of an MCMC object

Create a JAGS model object

Parallel RNGs for initial values

Size balancing version of mclapply

Exemplary MCMC list object

Fit BUGS models with cloned data

evalParallelArgument

Evaluates parallel argument

Parallel model fitting with data cloning

Data Cloning Diagnostics

Calculations on 'mcmc.list' objects

Generate posterior samples in mcmc.list format

mcmc.list-methods

Methods for the 'mcmc.list' class

Make a square matrix symmetric by averaging.

Parallel computing with JAGS

Dynamically load JAGS modules on parallel workers

Plot error bars

write.jags.model

Write and remove model file

Fit JAGS models with cloned data

pairs.mcmc.list

Scatterplot Matrices for 'mcmc.list' Objects

Advanced control over JAGS on parallel workers

Create a JAGS model object on parallel workers

Cloning R objects

Optimizing the number of workers

Update jags models on parallel workers

Retrieve descriptive statistics from fitted objects to evaluate convergence

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