Package | Description |
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Localiser.timeDelayLocalisers |
Modifier and Type | Method and Description |
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MCMCTDResults |
MCMC.AnalyseMCMCResults(java.util.ArrayList<javax.vecmath.Point3f> chainJumps,
java.util.ArrayList<java.lang.Double> Chi2,
int analysisType)
Take an ArrayList of the Markov chain jumps and chi-squared values of each jump and calculate source position.
|
MCMCTDResults |
MCMC.averageChains(java.util.ArrayList<MCMCTDResults> data) |
Modifier and Type | Method and Description |
---|---|
java.util.ArrayList<MCMCTDResults> |
MCMC.clusterAnalaysis(java.util.ArrayList<MCMCTDResults> meanArray)
Perform a cluster analysis of results.
|
java.util.ArrayList<MCMCTDResults> |
MCMC.getResults() |
java.util.ArrayList<MCMCTDResults> |
MCMC.getResultsAllChains() |
Modifier and Type | Method and Description |
---|---|
MCMCTDResults |
MCMC.averageChains(java.util.ArrayList<MCMCTDResults> data) |
java.util.ArrayList<MCMCTDResults> |
MCMC.clusterAnalaysis(java.util.ArrayList<MCMCTDResults> meanArray)
Perform a cluster analysis of results.
|
java.util.ArrayList<javax.vecmath.Point3d> |
MCMC.kMeansAnalysis(java.util.ArrayList<MCMCTDResults> meanArray)
Sometimes multiple chains will converge to different final distributions.
|