mcmc_diagnostics {dynamite} | R Documentation |
Diagnostic Values of a Dynamite Model
Description
Prints HMC diagnostics and lists parameters with smallest effective sample
sizes and largest Rhat values. See hmc_diagnostics()
and
posterior::default_convergence_measures()
for details.
Usage
mcmc_diagnostics(x, ...)
## S3 method for class 'dynamitefit'
mcmc_diagnostics(x, n = 3L, ...)
Arguments
x |
[ |
... |
Ignored. |
n |
[ |
Value
Returns x
(invisibly).
See Also
Model diagnostics
hmc_diagnostics()
,
lfo()
,
loo.dynamitefit()
Examples
data.table::setDTthreads(1) # For CRAN
mcmc_diagnostics(gaussian_example_fit)
[Package dynamite version 1.5.2 Index]