Uses of Class
Localiser.algorithms.genericLocaliser.MCMC.MCMC.ChainResult

Packages that use MCMC.ChainResult

Package	Description
Localiser.algorithms.genericLocaliser.MCMC

Uses of MCMC.ChainResult in Localiser.algorithms.genericLocaliser.MCMC

Methods in Localiser.algorithms.genericLocaliser.MCMC that return MCMC.ChainResult

Modifier and Type	Method	Description
MCMC.ChainResult	MCMC.analyseChain(MCMC.ChainResult chainResult)	Take an ArrayList of the Markov chain jumps and chi-squared values of each jump and calculate average values and the standard deviation for all dimensions.
MCMC.ChainResult	MCMC.mCMC(MinimisationFunction chi2)	Run MCMC algortihm.

Methods in Localiser.algorithms.genericLocaliser.MCMC that return types with arguments of type MCMC.ChainResult

Modifier and Type	Method	Description
ArrayList<MCMC.ChainResult>	MCMCResult.getData()	Get the chain results.

Methods in Localiser.algorithms.genericLocaliser.MCMC with parameters of type MCMC.ChainResult

Modifier and Type	Method	Description
MCMC.ChainResult	MCMC.analyseChain(MCMC.ChainResult chainResult)	Take an ArrayList of the Markov chain jumps and chi-squared values of each jump and calculate average values and the standard deviation for all dimensions.

Method parameters in Localiser.algorithms.genericLocaliser.MCMC with type arguments of type MCMC.ChainResult

Modifier and Type	Method	Description
MCMCResult	MCMC.averageChains(ArrayList<MCMC.ChainResult> data)	Take different MCMC chains and average the results.
ArrayList<MCMCResult>	MCMC.clusterAnalysis(ArrayList<MCMC.ChainResult> meanArray)	Perform a cluster analysis of results.
ArrayList<double[]>	MCMC.kMeansAnalysis(ArrayList<MCMC.ChainResult> mcmcChains, int attempts, int iterations)	Sometimes multiple chains will converge to different final distributions.
void	MCMCResult.setChains(ArrayList<MCMC.ChainResult> data)	Set the chains