Man pages for shinymrp
Interface for Multilevel Regression and Poststratification
| example_model | Return example 'MRPModel' object with estimation results. |
| example_pstrat_data | Return example poststratification data |
| example_sample_data | Return example data |
| MRPModel | MRPModel objects |
| MRPModel-method-check_estimate_exists | Check if poststratification has been performed |
| MRPModel-method-check_fit_exists | Check if model has been fitted |
| MRPModel-method-diagnostics | Return sampling diagnostics |
| MRPModel-method-fit | Fit multilevel regression model using cmdstanr |
| MRPModel-method-formula | Return model formula |
| MRPModel-method-log_lik | Create inputs for leave-one-out cross-validation |
| MRPModel-method-metadata | Return model metadata. |
| MRPModel-method-model_spec | Return model specification |
| MRPModel-method-poststratify | Run poststratification to generate population estimates |
| MRPModel-method-ppc | Create input for posterior predictive check |
| MRPModel-method-save | Save model object to file |
| MRPModel-method-stan_code | Return model Stan code. |
| MRPModel-method-summary | Return posterior summary table |
| mrp_workflow | Create a new MRPWorkflow object |
| MRPWorkflow | MRPWorkflow objects |
| MRPWorkflow-method-compare_models | Compare models using LOO-CV |
| MRPWorkflow-method-covar_hist | Create geographic covariate distribution histogram |
| MRPWorkflow-method-create_model | Create a new MRPModel object |
| MRPWorkflow-method-demo_bars | Create demographic comparison bar plots |
| MRPWorkflow-method-estimate_map | Create a choropleth map of MRP estimates |
| MRPWorkflow-method-estimate_plot | Visualize estimates for demographic groups |
| MRPWorkflow-method-link_acs | Link sample data to ACS data |
| MRPWorkflow-method-load_pstrat | Load custom poststratification data |
| MRPWorkflow-method-outcome_map | Visualize raw outcome measure by geography |
| MRPWorkflow-method-outcome_plot | Create summary plots of the outcome measure |
| MRPWorkflow-method-pp_check | Perform posterior predictive check |
| MRPWorkflow-method-preprocess | Preprocess sample data |
| MRPWorkflow-method-preprocessed_data | Return preprocessed sample data |
| MRPWorkflow-method-sample_size_map | Create sample size map |
| run_app | Run the Shiny Application |
| shinymrp-package | shinymrp: Interface for Multilevel Regression and... |
