Package index

Running the Shiny app

run_app()

Run the Shiny Application

Workflow object and methods

mrp_workflow()

Create a new MRPWorkflow object

MRPWorkflow

MRPWorkflow objects

compare_models()

Compare models using LOO-CV

covar_hist()

Create geographic covariate distribution histogram

create_model()

Create a new MRPModel object

demo_bars()

Create demographic comparison bar plots

estimate_map()

Create a choropleth map of MRP estimates

estimate_plot()

Visualize estimates for demographic groups

link_acs()

Link sample data to ACS data

load_pstrat()

Load custom poststratification data

outcome_map()

Visualize raw outcome measure by geography

outcome_plot()

Create summary plots of the outcome measure

pp_check()

Perform posterior predictive check

preprocess()

Preprocess sample data

preprocessed_data()

Return preprocessed sample data

sample_size_map()

Create sample size map

Model object and methods

MRPModel

MRPModel objects

check_estimate_exists()

Check if poststratification has been performed

check_fit_exists()

Check if model has been fitted

diagnostics()

Return sampling diagnostics

fit()

Fit multilevel regression model using cmdstanr

formula()

Return model formula

log_lik()

Create inputs for leave-one-out cross-validation

metadata()

Return model metadata.

model_spec()

Return model specification

poststratify()

Run poststratification to generate population estimates

ppc()

Create input for posterior predictive check

save()

Save model object to file

stan_code()

Return model Stan code.

summary()

Return posterior summary table

Other functions

example_sample_data()

Return example data

example_pstrat_data()

Return example poststratification data

example_model()

Return example MRPModel object with estimation results.