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dclone (version 2.1-1)

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. Sequential and parallel MCMC support for JAGS, WinBUGS and OpenBUGS.

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Version

Install

install.packages('dclone')

Monthly Downloads

527

Version

2.1-1

License

GPL-2

Issues

3

Pull Requests

0

Stars

7

Forks

2

Maintainer

Peter Solymos

Last Published

January 12th, 2016

Functions in dclone (2.1-1)

errlines

Plot error bars
dclone-package

Data Cloning
dc.parfit

Parallel model fitting with data cloning
dclone

Cloning R objects
regmod

Exemplary MCMC list object
lambdamax.diag

Data Cloning Diagnostics
bugs.fit

Fit BUGS models with cloned data
clusterSize

Optimizing the number of workers
codaSamples

Generate posterior samples in mcmc.list format
.dcFit

Internal function for iterative model fitting with data cloning
pairs.mcmc.list

Scatterplot Matrices for 'mcmc.list' Objects
parSetFactory

Advanced control over JAGS on parallel workers
parUpdate

Update jags models on parallel workers
mcmc.list-methods

Methods for the 'mcmc.list' class
jags.fit

Fit JAGS models with cloned data
dctable

Retrieve descriptive statistics from fitted objects to evaluate convergence
parCodaSamples

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

Create a JAGS model object
ovenbird

Abundances of ovenbird in Alberta
dc.fit

Iterative model fitting with data cloning
mcmcapply

Calculations on 'mcmc.list' objects
dcoptions

Setting Options
DcloneEnv

Manipulating dclone environments
update.mcmc.list

Automatic updating of an MCMC object
bugs.parfit

Parallel computing with WinBUGS/OpenBUGS
evalParallelArgument

Evaluates parallel argument
nclones

Number of Clones
parallel.inits

Parallel RNGs for initial values
write.jags.model

Write and remove model file
make.symmetric

Make a square matrix symmetric by averaging.
parJagsModel

Create a JAGS model object on parallel workers
mclapplySB

Size balancing version of mclapply
parLoadModule

Dynamically load JAGS modules on parallel workers
snowWrapper

Parallel wrapper function to call from within a function
parDosa

Parallel wrapper function to call from within a function
clusterSplitSB

Size balancing
jags.parfit

Parallel computing with JAGS