PAWL: Implementation of the PAWL algorithm

Implementation of the Parallel Adaptive Wang-Landau algorithm. Also implemented for comparison: parallel adaptive Metropolis-Hastings,SMC sampler.

AuthorLuke Bornn, Pierre E. Jacob
Date of publication2012-11-15 13:08:48
MaintainerPierre Jacob <pierre.jacob.work@gmail.com>
LicenseGPL (>= 2)
Version0.5

View on CRAN

Functions

adaptiveMH Man page
binning Man page
binning,ANY-method Man page
binning-class Man page
binning-method Man page
binning-methods Man page
ConvertResults Man page
createAdaptiveRandomWalkProposal Man page
createMixtureTarget Man page
createTrimodalTarget Man page
getFrequencies Man page
icefloe Man page
IceFloe Man page
normalizeweight Man page
pawl Man page
PAWL Man page
PAWL-package Man page
PlotAllVar Man page
PlotComp1vsComp2 Man page
PlotDensComp1vsComp2 Man page
PlotFH Man page
PlotHist Man page
PlotHistBin Man page
PlotLogTheta Man page
PlotNbins Man page
pollution Man page
Pollution Man page
preexplorationAMH Man page
proposal Man page
proposal,ANY-method Man page
proposal-class Man page
show,binning-method Man page
show,proposal-method Man page
show,smcparameters-method Man page
show,target-method Man page
show,tuningparameters-method Man page
smc Man page
smcparameters Man page
smcparameters,ANY-method Man page
smcparameters-class Man page
target Man page
target,ANY-method Man page
target-class Man page
tuningparameters Man page
tuningparameters,ANY-method Man page
tuningparameters-class Man page

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