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dclone (version 1.8-0)

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. 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

1.8-0

License

GPL-2

Homepage

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

Maintainer

Peter Solymos

Last Published

July 7th, 2012

Functions in dclone (1.8-0)

pairs.mcmc.list

Scatterplot Matrices for 'mcmc.list' Objects

Create a JAGS model object

Plot error bars

Advanced control over JAGS on parallel workers

Dynamically load JAGS modules on parallel workers

evalParallelArgument

Evaluates parallel argument

Iterative model fitting with data cloning

Fit JAGS models with cloned data

Data Cloning Diagnostics

update.mcmc.list

Automatic updating of an MCMC object

Update jags models on parallel workers

Parallel wrapper function to call from within a function

Abundances of ovenbird in Alberta

Fit BUGS models with cloned data

Size balancing version of mclapply

Generate posterior samples in mcmc.list format

Optimizing the number of workers

Retrieve descriptive statistics from fitted objects to evaluate convergence

Make a square matrix symmetric by averaging.

Cloning R objects

Number of Clones

Create a JAGS model object on parallel workers

mcmc.list-methods

Methods for the 'mcmc.list' class

Parallel RNGs for initial values

Setting Options

Parallel model fitting with data cloning

Exemplary MCMC list object

Parallel computing with JAGS

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

Calculations on 'mcmc.list' objects

write.jags.model

Write and remove model file