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dclone (version 2.3-3)

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 as described in Solymos 2010 . Sequential and parallel MCMC support for 'JAGS', 'WinBUGS', 'OpenBUGS', and 'Stan'.

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Version

Install

install.packages('dclone')

Monthly Downloads

470

Version

2.3-3

License

GPL-2

Issues

3

Pull Requests

0

Stars

7

Forks

2

Maintainer

Peter Solymos

Last Published

July 13th, 2025

Functions in dclone (2.3-3)

lambdamax.diag

Data Cloning Diagnostics
dclone-package

Data Cloning
dcoptions

Setting Options
jagsModel

Create a JAGS model object
dclone

Cloning R objects
errlines

Plot error bars
jags.parfit

Parallel computing with JAGS
jags.fit

Fit JAGS models with cloned data
evalParallelArgument

Evaluates parallel argument
dctable

Retrieve descriptive statistics from fitted objects to evaluate convergence
make.symmetric

Make a square matrix symmetric by averaging.
mcmcapply

Calculations on 'mcmc.list' objects
mclapplySB

Size balancing version of mclapply
pairs.mcmc.list

Scatterplot Matrices for 'mcmc.list' Objects
nclones

Number of Clones
ovenbird

Abundances of ovenbird in Alberta
parJagsModel

Create a JAGS model object on parallel workers
parCodaSamples

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

Dynamically load JAGS modules on parallel workers
stan.fit

Fit Stan models with cloned data
parDosa

Parallel wrapper function to call from within a function
update.mcmc.list

Automatic updating of an MCMC object from JAGS
parSetFactory

Advanced control over JAGS on parallel workers
parUpdate

Update jags models on parallel workers
parallel.inits

Parallel RNGs for initial values
write.jags.model

Write and remove model file
regmod

Exemplary MCMC list object
clusterSize

Optimizing the number of workers
mcmc.list-methods

Methods for the 'mcmc.list' class
bugs.parfit

Parallel computing with WinBUGS/OpenBUGS
.dcFit

Internal function for iterative model fitting with data cloning
bugs.fit

Fit BUGS models with cloned data
clusterSplitSB

Size balancing
DcloneEnv

Manipulating dclone environments
dc.parfit

Parallel model fitting with data cloning
codaSamples

Generate posterior samples in mcmc.list format
dc.fit

Iterative model fitting with data cloning