Computes per-parameter improved Rhat and bulk / tail effective sample size
by delegating to the engine's tulpa::diagnostics(), the single source of
truth for convergence diagnostics in the tulpa ecosystem. Works with all
backends.
Usage
# S3 method for class 'ratiod_fit'
diagnostics(fit, pars = NULL, ...)
Arguments
- fit
A ratiod_fit object
- pars
Character vector of parameter names (default: all).
- ...
Ignored.
Value
A data frame with columns: parameter, rhat, ess_bulk, ess_tail.
Details
Rhat is the improved value of Vehtari et al. (2021): the maximum of
rank-normalized split-Rhat and folded split-Rhat. Split-Rhat is defined for a
single chain (the chain is split in half), so single-chain fits also get a
value.