Compute convergence diagnostics for a dalmatian object.
# S3 method for dalmatian
convergence(
object,
pars = NULL,
nstart = start(object$coda),
nend = end(object$coda),
nthin = coda::thin(object$coda),
raftery = NULL,
...
)
Object of class dalmatian
created by dalmatian()
.
List of parameters to assess. If NULL (default) then diagnostics are computed for the fixed effects and random effects standard deviations in the mean, dispersion, and joint components.
Start point for computing summary statistics (relative to true start of chain).
End point for computing summary statistics (relative to true start of chain).
Thinning factor for computing summary statsitics (relative to full chain and not previously thinned output).
List of arguments to be passed to raftery.diag()
. Any values not provided will be set to their defaults (see help(raftery.diag())
for details).
Ignored
List containing Gelman-Rubin and Raftery convergence diagnostics and effective sampel sizes for the selected parameters.