shinymrp0.9.0 package

Return example MRPModel object with estimation results.

Return example poststratification data

Return example data

Create a new MRPWorkflow object

Check if poststratification has been performed

Check if model has been fitted

Return sampling diagnostics

Fit multilevel regression model using cmdstanr

Return model formula

Create inputs for leave-one-out cross-validation

Return model metadata.

Return model specification

Run poststratification to generate population estimates

Create input for posterior predictive check

Save model object to file

Return model Stan code.

Return posterior summary table

MRPModel objects

Compare models using LOO-CV

Create geographic covariate distribution histogram

Create a new MRPModel object

Create demographic comparison bar plots

Create a choropleth map of MRP estimates

Visualize estimates for demographic groups

Link sample data to ACS data

Load custom poststratification data

Visualize raw outcome measure by geography

Create summary plots of the outcome measure

Perform posterior predictive check

Preprocess sample data

Return preprocessed sample data

Create sample size map

MRPWorkflow objects

Run the Shiny Application

shinymrp: Interface for Multilevel Regression and Poststratification