Man pages for cmu-delphi/epipredict
Basic epidemiology forecasting methods
| add_epi_recipe | Add an 'epi_recipe' to a workflow |
| add_frosting | Add frosting to a workflow |
| add_layer | Add layer to a frosting object |
| Add_model | Add a model to an 'epi_workflow' |
| add_shifted_columns | backend for both 'bake.step_epi_ahead' and... |
| adjust_epi_recipe | Adjust a step in an 'epi_workflow' or 'epi_recipe' |
| adjust_frosting | Adjust a layer in an 'epi_workflow' or 'frosting' |
| apply_frosting | Apply postprocessing to a fitted workflow |
| arx_args_list | ARX forecaster argument constructor |
| arx_class_args_list | ARX classifier argument constructor |
| arx_class_epi_workflow | Create a template 'arx_classifier' workflow |
| arx_classifier | Direct autoregressive classifier with covariates |
| arx_fcast_epi_workflow | Create a template 'arx_forecaster' workflow |
| arx_forecaster | Direct autoregressive forecaster with covariates |
| augment.epi_workflow | Augment data with predictions |
| autoplot-epipred | Automatically plot an 'epi_workflow' or 'canned_epipred'... |
| cdc_baseline_args_list | CDC baseline forecaster argument constructor |
| cdc_baseline_forecaster | Predict the future with the most recent value |
| check_enough_train_data | Check the dataset contains enough data points. |
| check_interminable_latency | warn when the latency is larger than would be reasonable |
| check_pname | Check that newly created variable names don't overlap |
| clean_f_name | Create short function names |
| construct_shift_tibble | create a table of the columns to modify, their shifts, and... |
| count_single_column | get the location of the last real value |
| dist_quantiles | A distribution parameterized by a set of quantiles |
| drop_ignored_keys | given a list named by key columns, remove any matching key... |
| epi_recipe | Create a epi_recipe for preprocessing data |
| epi_shift_single | Shift predictors while maintaining grouping and time_value... |
| epi_slide_wrapper | Wrapper to handle epi_slide particulars |
| epi_workflow | Create an epi_workflow |
| extract_argument | Extract an argument made to a frosting layer or recipe step |
| extract_frosting | Extract the frosting object from a workflow |
| extrapolate_quantiles | Summarize a distribution with a set of quantiles |
| fit-epi_workflow | Fit an 'epi_workflow' object |
| flatline | (Internal) implementation of the flatline forecaster |
| flatline_args_list | Flatline forecaster argument constructor |
| flatline_forecaster | Predict the future with today's value |
| flusight_hub_formatter | Format predictions for submission to FluSight forecast Hub |
| forecast.epi_workflow | Produce a forecast from an epi workflow |
| format_varnames | "Format" a character vector of column/variable names for cli... |
| frosting | Create frosting for postprocessing predictions |
| get_forecast_date | Extract the as_of for the forecast date, and make sure... |
| get_forecast_date_in_layer | get the target date while in a layer |
| get_latency | the latency is also the amount the shift is off by |
| get_latency_table | create the latency table This is a table of column names and... |
| get_sign | lags move columns forward to bring the past up to today,... |
| get_test_data | Get test data for prediction based on longest lag period |
| grf_quantiles | Random quantile forests via grf |
| is_epi_recipe | Test for 'epi_recipe' |
| is_epi_workflow | Test for an 'epi_workflow' |
| layer | 'layer' sets the class of the 'layer' |
| layer_add_forecast_date | Postprocessing step to add the forecast date |
| layer_add_target_date | Postprocessing step to add the target date |
| layer_cdc_flatline_quantiles | CDC Flatline Forecast Quantiles |
| layer_naomit | Omit 'NA's from predictions or other columns |
| layer_point_from_distn | Converts distributional forecasts to point forecasts |
| layer_population_scaling | Convert per-capita predictions to raw scale |
| layer_predict | Prediction layer for postprocessing |
| layer_predictive_distn | Returns predictive distributions |
| layer-processors | Extract, validate, or detect layers of frosting |
| layer_quantile_distn | Returns predictive quantiles |
| layer_residual_quantiles | Creates predictions based on residual quantiles |
| layer_threshold | Lower and upper thresholds for predicted values |
| layer_unnest | Unnest prediction list-cols |
| nested_quantiles | Turn a vector of quantile distributions into a list-col |
| new_epi_recipe_blueprint | Recipe blueprint that accounts for 'epi_df' panel data |
| pad_to_end | pad every group at the right interval |
| pipe | Pipe operator |
| pivot_quantiles_longer | Pivot columns containing 'dist_quantile' longer |
| pivot_quantiles_wider | Pivot columns containing 'dist_quantile' wider |
| predict-epi_workflow | Predict from an epi_workflow |
| quantile_reg | Quantile regression |
| reexports | Objects exported from other packages |
| seq_forward | seq, but returns null if from is larger |
| slather | Spread a layer of frosting on a fitted workflow |
| smooth_quantile_reg | Smooth quantile regression |
| step_adjust_latency | Adapt the model to latent data |
| step_adjust_latency_checks | checks: the recipe type, whether a previous step is the... |
| step_epi_naomit | Unified NA omission wrapper function for recipes |
| step_epi_shift | Create a shifted predictor |
| step_epi_slide | Calculate a rolling window transformation |
| step_growth_rate | Calculate a growth rate |
| step_lag_difference | Calculate a lagged difference |
| step_population_scaling | Convert raw scale predictions to per-capita |
| step_training_window | Limits the size of the training window to the most recent... |
| tidy.frosting | Tidy the result of a frosting object |
| update.layer | Update post-processing 'layer' |
| weighted_interval_score | Compute weighted interval score |
