MRPWorkflow-method-pp_check: Perform posterior predictive check
In shinymrp: Interface for Multilevel Regression and Poststratification
MRPWorkflow-method-pp_check R Documentation
Perform posterior predictive check
Description
The $pp_check() method creates posterior predictive check plots
to assess model fit by comparing observed data to replicated data from
the posterior predictive distribution. Check out the
More examples of R6 classes
vignette for usage examples.
Usage
pp_check(model, file = NULL, ...)
Arguments
model
Fitted MRPModel object.
file
Optional file path to save the plot.
...
Additional arguments passed to ggsave, such as width and height.
Value
A ggplot object showing the posterior predictive check result.
shinymrp documentation built on Dec. 4, 2025, 5:07 p.m.
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| MRPWorkflow-method-pp_check | R Documentation |
Perform posterior predictive check
Description
The $pp_check() method creates posterior predictive check plots
to assess model fit by comparing observed data to replicated data from
the posterior predictive distribution. Check out the
More examples of R6 classes
vignette for usage examples.
Usage
pp_check(model, file = NULL, ...)
Arguments
model |
Fitted MRPModel object. |
file |
Optional file path to save the plot. |
... |
Additional arguments passed to |
Value
A ggplot object showing the posterior predictive check result.
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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