convergence: Convergence Diagnostics (S3 Generic)
In sjbonner/dalmatian: Automating the Fitting of Double Linear Mixed Models in 'JAGS' and 'nimble'
Description
Usage
Arguments
Value
View source: R/post_processing.R
Description
Generic function for computing convergence diagnostics.
Usage
1
convergence(object, ...)
Arguments
object
Object to asses.
...
Ignored
Value
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.
sjbonner/dalmatian documentation built on Nov. 4, 2021, 2:32 a.m.
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Description Usage Arguments Value
View source: R/post_processing.R
Description
Generic function for computing convergence diagnostics.
Usage
1 | convergence(object, ...)
|
Arguments
object |
Object to asses. |
... |
Ignored |
Value
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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