LALInferenceNestedSampler.h File Reference

Prototypes
void	LALInferenceNestedSamplingAlgorithmInit (LALInferenceRunState *runState)
	Initialise the nested sampling algorithm by reading from the commandLine and setting up algorithmParams. More...
void	LALInferenceNestedSamplingAlgorithm (LALInferenceRunState *runState)
	NestedSamplingAlgorithm implements the nested sampling algorithm, see e.g. More...
INT4	LALInferenceNestedSamplingOneStep (LALInferenceRunState *runState)
	A single iteration of the NS algorithm. More...
LALInferenceVariables *	LALInferenceComputeAutoCorrelation (LALInferenceRunState *runState, UINT4 max_iterations, LALInferenceEvolveOneStepFunction evolve)
	Compute the autocorrelation length from the sampler at the current global iteration. More...
UINT4	LALInferenceMCMCSamplePrior (LALInferenceRunState *runState)
	Perform one MCMC iteration on runState->currentParams. More...
UINT4	LALInferenceMCMCSamplePriorNTimes (LALInferenceRunState *runState, UINT4 N)
	Sample the prior N times, returns number of acceptances. More...
INT4	LALInferenceNestedSamplingSloppySample (LALInferenceRunState *runState)
	Sample the limited prior distribution using the MCMC method as usual, but run a sub-chain of x iterations which doesn't check the likelihood bound. More...
INT4	LALInferenceNestedSamplingCachedSampler (LALInferenceRunState *runState)
void	LALInferenceSetupLivePointsArray (LALInferenceRunState *runState)
	Setup the live points by calling runState->initVariables on each of them if it is specified. More...
void	LALInferenceProjectSampleOntoEigenvectors (LALInferenceVariables *params, gsl_matrix *eigenvectors, REAL8Vector **projection)
	Project the sample in params onto the eigenvectors given in eigenvectors. More...

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