Description Usage Arguments Value References
View source: R/post_processing.R
Compute convergence diagnostics for a dalmatian object.
1 2 3 4 5 6 7 8 9 10 |
object |
Object of class |
pars |
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. |
nstart |
Start point for computing summary statistics (relative to true start of chain). |
nend |
End point for computing summary statistics (relative to true start of chain). |
nthin |
Thinning factor for computing summary statistics (relative to full chain and not previously thinned output). |
raftery |
List of arguments to be passed to |
... |
Ignored |
List containing Gelman-Rubin and Raftery convergence diagnostics and effective sample sizes for the selected parameters. This information is used to diagnose convergence of the MCMC sampling algorithms.
Bonner, S., Kim, H., Westneat, D., Mutzel, A.,
Wright, J., and Schofield, M.. (2021). dalmatian
: A Package
for Fitting Double Hierarchical Linear Models in R
via JAGS
and
nimble
. Journal of Statistical Software, 100, 10, 1–25.
doi: 10.18637/jss.v100.i10.
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