Man pages for forecastsuite
Multi-Model Time Series Forecasting Toolkit and Local App
| always_zero_dates | Find calendar dates that are always zero or missing |
| analyze_series | Analyze a series' shape for model recommendation |
| build_cv_folds | Build rolling-origin (walk-forward) cross-validation folds |
| collapse_to_period | Collapse multiple rows sharing a period into one |
| compose_date_parts | Assemble a date from separate Year/Quarter/Month/Day columns |
| compute_forecast_bias | Signed forecast error (bias) |
| compute_forecast_metrics | Compute MASE, sMAPE, and RMSE for a forecast |
| compute_group_value_map | Build a raw-value -> canonical-label map for a grouping... |
| compute_interval_coverage | Empirical prediction-interval coverage |
| compute_multi_window_metrics | Score a forecast over several evaluation windows at once |
| compute_residual_diagnostics | Residual diagnostics for a forecast |
| convert_months_to_horizon | Convert a forecast horizon in months to periods |
| count_duplicate_periods | Count how many rows share a period |
| decompose_series | Seasonal decomposition of a series |
| detect_anomalies | Flag unusual points in a series |
| detect_bias_drift | Check whether forecast bias is growing across the test window |
| ensemble_forecasts | Combine several models' forecasts into one |
| fixed_holiday_catalog | Built-in fixed-date holiday catalog |
| forecastsuite-package | forecastsuite: Multi-Model Time Series Forecasting Toolkit... |
| get_model | Look up a registered model |
| googlesheet_csv_url | Build a Google Sheets CSV export URL |
| group_correlation_matrix | Pairwise correlation between grouped series |
| holiday_contingency | Run both holiday consistency checks at once |
| holiday_limitation_note | Holiday-limitation note for a model |
| holidays_with_data | Find declared holidays with non-zero data |
| impute_anomalies | Impute detected anomalies before fitting |
| list_models | List every registered model |
| lstm_available | Check whether the LSTM model is available |
| plot_forecast_generic | Plot a single model's forecast |
| plot_model_comparison | Overlay several models' forecasts on one plot |
| process_uploaded_data | Turn an uploaded table into a ds/y forecasting series |
| prophet_available | Check whether the Prophet model is available |
| read_google_sheet | Read a link-shared Google Sheet as a data frame |
| recommend_model | Rank registered models for a series |
| reconcile_bottom_up | Bottom-up hierarchical reconciliation |
| reconcile_top_down | Top-down hierarchical reconciliation (historical proportions) |
| register_model | Register a forecasting model |
| run_app | Launch the bundled local forecastsuite Shiny app |
| run_backtest_leaderboard | Multi-model rolling-origin backtest leaderboard |
| safe_compute_metrics | Compute forecast metrics, guarding against a too-short test... |
| split_by_group | Split a ds/y/group tibble into one tibble per group |
| suggest_parameters | Suggest starting hyperparameters for one model |
| suggest_parameters_for | Suggest starting hyperparameters for several models at once |
| ts_frequency_for | Map an aggregation frequency to a ts() seasonal frequency |
