MRPModel-method-poststratify: Run poststratification to generate population estimates
In shinymrp: Interface for Multilevel Regression and Poststratification
MRPModel-method-poststratify R Documentation
Run poststratification to generate population estimates
Description
The $poststratify() method of an MRPModel object
runs Stan's standalone generated quantities and extracts posterior samples
for poststratified estimates. This method is called by the $poststratify()
method of a MRPWorkflow object and does not need to be called directly by users.
Usage
poststratify(interval = 0.95)
Arguments
interval
Confidence interval (a numeric value between 0 and 1) or
standard deviation ("1sd" or "2sd") for the estimates (default is 0.95).
Value
A data.frame object containing the poststratified estimates and their
corresponding uncertainty intervals.
shinymrp documentation built on Dec. 4, 2025, 5:07 p.m.
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| MRPModel-method-poststratify | R Documentation |
Run poststratification to generate population estimates
Description
The $poststratify() method of an MRPModel object
runs Stan's standalone generated quantities and extracts posterior samples
for poststratified estimates. This method is called by the $poststratify()
method of a MRPWorkflow object and does not need to be called directly by users.
Usage
poststratify(interval = 0.95)
Arguments
interval |
Confidence interval (a numeric value between 0 and 1) or
standard deviation ( |
Value
A data.frame object containing the poststratified estimates and their corresponding uncertainty intervals.
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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