bilby.core.sampler.ptemcee

Functions

calculate_tau_array(samples, ...)	Calculate the autocorrelation time for zero-temperature chains.
check_iteration(iteration, samples, sampler, ...)	Per-iteration logic to calculate the convergence check.
checkpoint(iteration, outdir, label, ...)
compute_evidence(sampler, ...[, make_plots])	Computes the evidence using thermodynamic integration
do_nothing_function()	This is a do-nothing function, we overwrite the likelihood and prior elsewhere
get_Q_convergence(samples)	Calculate the Gelman-Rubin statistic as an estimate of convergence for an ensemble of MCMC walkers.
get_max_gradient(x[, axis, window_length, ...])	Calculate the maximum value of the gradient in the input data.
get_minimum_stable_itertion(mean_array, frac)
plot_mean_log_posterior(mean_log_posterior, ...)
plot_tau(tau_list_n, tau_list, ...)
plot_walkers(walkers, nburn, thin, ...[, ...])	Method to plot the trace of the walkers in an ensemble MCMC plot
print_progress(iteration, sampler, ...)

Classes

ConvergenceInputs(autocorr_c, autocorr_tol, ...)
LikePriorEvaluator()	This class is copied and modified from ptemcee.LikePriorEvaluator, see https://github.com/willvousden/ptemcee for the original version
Ptemcee(likelihood, priors[, outdir, label, ...])	bilby wrapper ptemcee (https://github.com/willvousden/ptemcee)