Package index
-
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