blrmfit objects for
divergent transitions or non-convergence of parametersnuts_params,
rhat, log_posterior and
neff_ratio for blrmfit objects as defined in
bayesplotpp_data by about 25% which is used in all
posterior summary functionsewoc_check summary routine for
blrm_trial objects. The returned summary contains MCMC
diagnostics and accuracy estimates of the EWOC metric as defined for the
trial. This allows to assess the MCMC estimation error for EWOC.blrm_trial objects are printed.save_warmup=FALSE.Switch SBC runs to use clustermq in lieu of batchtools. Also now use L’Ecuyer CMG as rng engine during SBC runs.
add critical_quantile function allowing to calculate critical doses which fulfill conditions like EWOC.