MRPModel-method-ppc: Create input for posterior predictive check
In shinymrp: Interface for Multilevel Regression and Poststratification
MRPModel-method-ppc R Documentation
Create input for posterior predictive check
Description
The $ppc() method of an MRPModel object
runs Stan's standalone generated quantities
to draw from the posterior predictive distribution. This method is called
by the $pp_check() method of a MRPWorkflow object and does
not need to be called directly by users.
Usage
ppc()
Value
A data.frame object containing samples from the posterior predictive distribution.
shinymrp documentation built on Dec. 4, 2025, 5:07 p.m.
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| MRPModel-method-ppc | R Documentation |
Create input for posterior predictive check
Description
The $ppc() method of an MRPModel object
runs Stan's standalone generated quantities
to draw from the posterior predictive distribution. This method is called
by the $pp_check() method of a MRPWorkflow object and does
not need to be called directly by users.
Usage
ppc()
Value
A data.frame object containing samples from the posterior predictive distribution.
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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