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dclone (version 1.5-0)

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 nearly linear speed-up.

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Version

Install

install.packages('dclone')

Monthly Downloads

681

Version

1.5-0

License

GPL-2

Homepage

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

Maintainer

Peter Solymos

Last Published

October 18th, 2011

Functions in dclone (1.5-0)

Parallel model fitting with data cloning

Plot error bars

Cloning R objects

Optimizing the number of workers

Retrieve descriptive statistics from fitted objects to evaluate convergence

Fit BUGS models with cloned data

Fit JAGS models with cloned data

Make a square matrix symmetric by averaging.

Iterative model fitting with data cloning

mcmc.list-methods

Methods for the 'mcmc.list' class

Parallel computing with JAGS

Generate posterior samples in mcmc.list format on parallel workers

Exemplary MCMC list object

Number of Clones

Parallel RNGs for initial values

Abundances of ovenbird in Alberta

Setting Options

Calculations on 'mcmc.list' objects

pairs.mcmc.list

Scatterplot Matrices for 'mcmc.list' Objects

Dynamically load JAGS modules on parallel workers

Create a JAGS model object on parallel workers

Parallel wrapper function to call from within a function

write.jags.model

Write and remove model file

Update jags models on parallel workers

Advanced control over JAGS on parallel workers

update.mcmc.list

Automatic updating of an MCMC object

Maximum Eigenvalue of the Posterior Variance-Covariance Matrix

Generate posterior samples in mcmc.list format

Create a JAGS model object