gwkokab_scripts.pe_diagnostics¶

Functions¶

autocorr_1d(x[, max_lag])

compute_ess(chains[, max_lag])

compute_rhat(chains)

diagnose_parameter(values, num_chains, max_lag)

diagnostic_label(stats)

load_samples(path)

main()

safe_filename(name)

save_autocorr_plot(param, stats, outdir, max_lag)

save_hist_plot(param, stats, outdir)

save_trace_plot(param, stats, outdir)

split_chains(values, num_chains)

split_single_chain_for_rhat(chain)

write_summary(all_stats, outdir, num_chains)

Module Contents¶

gwkokab_scripts.pe_diagnostics.autocorr_1d(x, max_lag=200)¶
gwkokab_scripts.pe_diagnostics.compute_ess(chains, max_lag=1000)¶
gwkokab_scripts.pe_diagnostics.compute_rhat(chains)¶
gwkokab_scripts.pe_diagnostics.diagnose_parameter(values, num_chains, max_lag)¶
gwkokab_scripts.pe_diagnostics.diagnostic_label(stats)¶
gwkokab_scripts.pe_diagnostics.load_samples(path)¶
gwkokab_scripts.pe_diagnostics.main()¶
gwkokab_scripts.pe_diagnostics.safe_filename(name)¶
gwkokab_scripts.pe_diagnostics.save_autocorr_plot(param, stats, outdir, max_lag)¶
gwkokab_scripts.pe_diagnostics.save_hist_plot(param, stats, outdir)¶
gwkokab_scripts.pe_diagnostics.save_trace_plot(param, stats, outdir)¶
gwkokab_scripts.pe_diagnostics.split_chains(values, num_chains)¶
gwkokab_scripts.pe_diagnostics.split_single_chain_for_rhat(chain)¶
gwkokab_scripts.pe_diagnostics.write_summary(all_stats, outdir, num_chains)¶