Man pages for reichlab/adaptively-weighted-ensemble
Adaptively Weighted Ensembles via Stacking
| assemble_predictions | Assemble leave-one-season-out or test phase predictions made... |
| assemble_stacking_inputs | Assemble a data frame of inputs to stacking |
| awes | awes - Adaptively Weighted Ensembles via Stacking |
| calc_median_from_binned_probs | Calcluation of median value from binned probability... |
| compute_competition_log_score | Calculate "log scores" for the purpose of the competition -... |
| fit_kde_log_peak_week_inc | Estimate KDE for LOG peak week incidence |
| fit_kde_onset_week | Estimate KDE for onset week |
| fit_kde_peak_week | Estimate KDE for peak week |
| fit_kde_weekly_inc | Fit a GAM for weekly incidence |
| fit_kernel_smoothed_stacked_model_fixed_bw | Estimate weights for a linear combination of predictive... |
| fit_region_kdes | Fits and saves KDE models for all region-year combinations |
| fit_region_sarima | Estimate series of leave-one-season-out SARIMA models |
| fit_stacked_model | Fit a stacking model that assigns weights to component models... |
| fit_unregularized_stacked_model | Estimate "optimal" unregularized weights for a linear... |
| flu_data | Influenza incidence in the US (1997 - 2016) |
| flu_onset_baselines | Flu season "onset thresholds" from the US CDC. |
| get_inc_bin | return the bin name for a given incidence |
| get_initial_rng_substream | Get the initial rng substream for an rstream object. Should... |
| get_log_scores_via_direct_simulation | Get log scores and full predictive distributions for each... |
| get_log_scores_via_trajectory_simulation | Get log scores and full predictive distributions for each... |
| get_observed_seasonal_quantities | Compute season onset, peak week, and peak incidence |
| get_onset_baseline | Get the onset baseline for a combination of region and season |
| get_onset_week | Utility function to compute onset week based on a trajectory... |
| get_rng_substream | Get the rng substream for an rstream object corresponding to... |
| logspace_add | Calculate log(exp(logx) + exp(logy)) in a somewhat... |
| logspace_sub | Calculate log(exp(logx) - exp(logy)) in a somewhat... |
| logspace_sub_matrix_rows | Calculate logspace difference of matrix rows in a somewhat... |
| logspace_sum | Calculate log(sum(exp(logx))) in a somewhat numerically... |
| logspace_sum_matrix_rows | Calculate logspace summation of matrix rows in a somewhat... |
| make_predictions_dataframe | Helper function to standardize creation of empty prediction... |
| predict_kde_log_peak_week_inc | Compute predictive distribution for peak week incidence from... |
| predict_kde_log_weekly_inc | Compute predictive distribution for weekly incidence from GAM... |
| predict_kde_onset_week | Functions for predicting from KDE fits |
| predict_kde_peak_week | Compute predictive distribution for peak week from KDE fit |
| predict_region_kde | Wrapper for prediction and evaluation of KDE fits |
| sample_predictive_trajectories_arima | Simulate predictive trajectories from an ARIMA model |
| sample_predictive_trajectories_arima_wrapper | A wrapper around sample_predictive_trajectories_arima... |
| season_week_to_year_week | Convert season week to year week |
| simulate_trajectories_kcde | Simulate predictive distributions from KCDE/copulas model;... |
| weighted_combine_predictions | Compute a weighted combination of prediction results |
| year_week_to_season_week | Convert year week to season week |
