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LALInference 4.1.9.1-b246709
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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