Computes rank-normalized R-hat, bulk and tail effective sample sizes, divergent-transition counts, maximum-treedepth saturation, and chain-level energy diagnostics for an approved binary fit.
Usage
diagnose_binary_fit(
fit,
rhat_pass = 1.01,
rhat_fail = 1.05,
ess_per_chain_pass = 100,
ess_per_chain_fail = 50,
maximum_treedepth_fraction = 0.01,
ebfmi_pass = 0.3,
ebfmi_fail = 0.2
)Arguments
- fit
A fitted
gp3bayes_fit.- rhat_pass
R-hat value at or below which the component passes.
- rhat_fail
R-hat value above which the component fails.
- ess_per_chain_pass
Bulk or tail ESS per chain at or above which the component passes.
- ess_per_chain_fail
Bulk or tail ESS per chain below which the component fails.
- maximum_treedepth_fraction
Maximum fraction of post-warmup draws that may reach the configured maximum treedepth before the component fails.
- ebfmi_pass
E-BFMI value at or above which the energy component passes.
- ebfmi_fail
E-BFMI value below which the energy component fails.