Skip to contents

All functions

build_prefit_list()
Prepare a list of brmsfit objects to update during repeated simulations
cluster_setup()
Convenience Function to set up a cluster used for multiprocessing
custom_loo_object()
Builds a loo object that contains any pointwise criterion, acting as elpd for compatibility.
dataset_conf_sim()
Title
dataset_sim()
Run simulation for a single dataset configuration
elpd_loo_handler()
Title
elpd_pointwise_summaries()
Pointwise elps summaries
elpd_test()
Title
fit_conf_key()
Generate lookup keys for fit configurations to retrieve prefit objects matching said config.
fit_sim()
Fit a single model in a simulation study
forward_sampling()
Simulate a new dataset using forward sampling.
full_simulation()
Title
gamma_discrepancy()
Quantifies deviation from uniformity by the likelihood of observing the most extreme point on the empirical CDF of the given rank distribution according to 1 (equation 7).
get_prefit()
Title
ifs_SBC()
Full inverse forward sampling supported SBC
loo_compare_handler()
Title
metric_list_handler()
Collect multiple metrics at once
metric_lookup()
Access metrics with string identifiers
prior_lookup()
Title
r2()
Title
r2_loo()
Calculate PSIS-loo R² for a given brms fit
r2_test()
Title
reproduce_result()
This method will reproduce the exact dataset and fit corresponding to the supplied result dataframe row.
rmse()
Calculate the root-mean-squared-error for given y and yrep.
rmse_loo()
Calculate PSIS-loo rmse for a given brms fit
rmse_test()
Title