| add.to.hist.table | Add Rows to the Fit Re Table |
| bind.to.intervention | Add Rows to Intervention Table |
| create.beta.vec | Creates Vector of Beta Values |
| create.cases.df | Create Cases Dataframe |
| create.graph | Graphing Helper |
| create.hosp.df | Create Hospitalization Dataframe |
| create.res.df | Create Hospital Resource Dataframe |
| createTransition | Generate transition matrix |
| default_params | Returns to Parameter UI elements for the Shiny App |
| findBestRe | Find Best Fit for Re |
| find.curr.estimates | Find 'Current' Information |
| getBetaFromDoubling | Get Beta from Doubling Time |
| getBetaFromRe | Get Beta from Re |
| parameters_page | Returns to Parameter UI elements for the Shiny App |
| process_df_download | General process dataframe to download |
| process_df_download_M0 | Process dataframe to download for Model 0 |
| process_df_download_M1 | Process dataframe to download for Model 1 |
| process_df_download_M2 | Process dataframe to download for Model 2 |
| process_params_download | General process parameters for download |
| process_params_download_M0 | Process parameters for export for Model 0 |
| process_params_download_M1 | Process parameters for export for Model 0 TODO: If we end up... |
| process_params_download_M2 | Process parameters for export for Model 2 |
| re_estimate_plot | Plot for R_e estimate |
| roundNonDateCols | Round Non-Date Columns |
| runMarkov | Run Markov Simulation |
| SEIR | Model Caller |
| SEIR_M0 | Run SEIR model for Model 0 |
| SEIR_M1 | Run SEIR model for Model 1 |
| SEIR_M2 | Run SEIR model for Model 2 |
| start_app | Enable bookmarking mode, using values from the URL, if... |
| start.exp.default | Server part |
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