Learn R Programming

⚠️There's a newer version (2.3-3) of this package.Take me there.

dclone (version 1.8-1)

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.

Copy Link

Version

Install

install.packages('dclone')

Monthly Downloads

681

Version

1.8-1

License

GPL-2

Homepage

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

Maintainer

Peter Solymos

Last Published

September 4th, 2012

Functions in dclone (1.8-1)

Parallel model fitting with data cloning

update.mcmc.list

Automatic updating of an MCMC object

Parallel computing with JAGS

Calculations on 'mcmc.list' objects

Size balancing version of mclapply

Setting Options

Advanced control over JAGS on parallel workers

Optimizing the number of workers

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

Create a JAGS model object on parallel workers

Data Cloning Diagnostics

Number of Clones

evalParallelArgument

Evaluates parallel argument

write.jags.model

Write and remove model file

Fit BUGS models with cloned data

Iterative model fitting with data cloning

Create a JAGS model object

Fit JAGS models with cloned data

Parallel wrapper function to call from within a function

Parallel RNGs for initial values

Update jags models on parallel workers

pairs.mcmc.list

Scatterplot Matrices for 'mcmc.list' Objects

Abundances of ovenbird in Alberta

Generate posterior samples in mcmc.list format

mcmc.list-methods

Methods for the 'mcmc.list' class

Make a square matrix symmetric by averaging.

Cloning R objects

Exemplary MCMC list object

Retrieve descriptive statistics from fitted objects to evaluate convergence

Plot error bars

Dynamically load JAGS modules on parallel workers