4/25/2023 0 Comments Emcee mcmcGet a random draw from the prior distribution Method to draw a set of live points from the prior Uses the tocorr module to estimate the autocorrelationĬhecks if the draw will generate an infinite prior or likelihood Whether to print diagnostic information during the analysis _init_ ( likelihood, priors, outdir = 'outdir', label = 'label', use_ratio = False, plot = False, skip_import_verification = False, pos0 = None, nburn = None, burn_in_fraction = 0.25, resume = True, burn_in_act = 3, ** kwargs ) _call_ ( * args, ** kwargs ) The number of autocorrelation times to discard as burn-in a: float (2) ![]() The fraction of steps to discard as burn-in in the event that theĪutocorrelation time cannot be calculated burn_in_act: float ![]() Else, nburn isĮstimated from the autocorrelation time burn_in_fraction: float, (0.25) Therefore the value must be greater than nsteps. These willīe discarded from the total number of steps set by nsteps and If given, the fixed number of steps to discard as burn-in. List commonly used kwargs and the bilby defaults. ![]() Run_sampler will be propagated to emcee.EnsembleSampler, seeĭocumentation for that class for further help. Emcee ( likelihood, priors, outdir = 'outdir', label = 'label', use_ratio = False, plot = False, skip_import_verification = False, pos0 = None, nburn = None, burn_in_fraction = 0.25, resume = True, burn_in_act = 3, ** kwargs ) Īll positional and keyword arguments (i.e., the args and kwargs) passed to
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