cbcBayesMCMC2pos.py File Reference

Prototypes
def	cbcBayesMCMC2pos.multipleFileCB (opt, opt_str, value, parser)
def	cbcBayesMCMC2pos.reassign_metadata (new_posterior, original_hdf5)
def	cbcBayesMCMC2pos.downsample_and_evidence (data_hdf5, deltaLogP=None, fixedBurnin=None, nDownsample=None, verbose=False)
def	cbcBayesMCMC2pos.weight_and_combine (pos_chains, verbose=False, evidence_weighting=True, combine_only=False)

Go to the source code of this file.

Namespaces
namespace	cbcBayesMCMC2pos

Variables
string	cbcBayesMCMC2pos.mcmc_group_id = '/lalinference/lalinference_mcmc'
string	cbcBayesMCMC2pos.USAGE
	cbcBayesMCMC2pos.parser = OptionParser(USAGE)
	cbcBayesMCMC2pos.action
	cbcBayesMCMC2pos.type
	cbcBayesMCMC2pos.default
	cbcBayesMCMC2pos.help
	cbcBayesMCMC2pos.metavar
	cbcBayesMCMC2pos.dest
	cbcBayesMCMC2pos.callback
	cbcBayesMCMC2pos.multipleFileCB
	cbcBayesMCMC2pos.opts
	cbcBayesMCMC2pos.args
list	cbcBayesMCMC2pos.datafiles = []
list	cbcBayesMCMC2pos.fixedBurnins = [int(opts.fixedBurnin[0]) for df in datafiles]
list	cbcBayesMCMC2pos.chain_posteriors = []
	cbcBayesMCMC2pos.final_posterior
	cbcBayesMCMC2pos.metadata
	cbcBayesMCMC2pos.verbose
	cbcBayesMCMC2pos.evidence_weighting
	cbcBayesMCMC2pos.combine_only
	cbcBayesMCMC2pos.run_identifier = extract_metadata(path, metadata)
string	cbcBayesMCMC2pos.path_to_samples = '/'.join(['','lalinference',run_identifier,'posterior_samples'])
	cbcBayesMCMC2pos.path