A B C D E F G H I M N P R S T V W
| fabletools-package | fabletools: Core Tools for Packages in the 'fable' Framework |
| accuracy | Evaluate accuracy of a forecast or model |
| accuracy.fbl_ts | Evaluate accuracy of a forecast or model |
| accuracy.mdl_df | Evaluate accuracy of a forecast or model |
| ACF1 | Point estimate accuracy measures |
| aggregate_key | Expand a dataset to include other levels of aggregation |
| as_dable | Coerce to a dable object |
| as_dable.tbl_df | Coerce to a dable object |
| as_dable.tbl_ts | Coerce to a dable object |
| as_fable | Coerce to a fable object |
| as_fable.fbl_ts | Coerce to a fable object |
| as_fable.grouped_df | Coerce to a fable object |
| as_fable.grouped_ts | Coerce to a fable object |
| as_fable.tbl_df | Coerce to a fable object |
| as_fable.tbl_ts | Coerce to a fable object |
| as_mable | Coerce a dataset to a mable |
| as_mable.tbl_df | Coerce a dataset to a mable |
| augment.mdl_df | Augment a mable |
| augment.mdl_ts | Augment a mable |
| autolayer.fbl_ts | Plot a set of forecasts |
| autolayer.tbl_ts | Plot time series from a tsibble |
| autoplot.dcmp_ts | Decomposition plots |
| autoplot.fbl_ts | Plot a set of forecasts |
| autoplot.tbl_ts | Plot time series from a tsibble |
| bias_adjust | Bias adjust back-transformation functions |
| box_cox | Box Cox Transformation |
| coef.mdl_df | Extract model coefficients from a mable |
| coef.mdl_ts | Extract model coefficients from a mable |
| combination_ensemble | Ensemble combination |
| combination_model | Combination modelling |
| common_periods | Extract frequencies for common seasonal periods |
| common_periods.default | Extract frequencies for common seasonal periods |
| common_periods.interval | Extract frequencies for common seasonal periods |
| common_periods.tbl_ts | Extract frequencies for common seasonal periods |
| components.mdl_df | Extract components from a fitted model |
| components.mdl_ts | Extract components from a fitted model |
| construct_fc | Construct a new set of forecasts |
| CRPS | Distribution accuracy measures |
| dable | Create a dable object |
| decomposition_model | Decomposition modelling |
| distribution_accuracy_measures | Distribution accuracy measures |
| dist_mv_normal | Distributions for intervals |
| dist_normal | Distributions for intervals |
| dist_sim | Distributions for intervals |
| dist_unknown | Distributions for intervals |
| estimate | Estimate a model |
| estimate.tbl_ts | Estimate a model |
| fable | Create a fable object |
| fabletools | fabletools: Core Tools for Packages in the 'fable' Framework |
| features | Extract features from a dataset |
| features_all | Extract features from a dataset |
| features_at | Extract features from a dataset |
| features_by_pkg | Features by package |
| features_by_tag | Features by tag |
| features_if | Extract features from a dataset |
| feature_set | Create a feature set from tags |
| fitted.mdl_df | Extract fitted values from models |
| fitted.mdl_ts | Extract fitted values from models |
| forecast | Produce forecasts |
| forecast.mdl_df | Produce forecasts |
| generate.mdl_df | Generate responses from a mable |
| generate.mdl_ts | Generate responses from a mable |
| GeomForecast | Forecast plot |
| geom_forecast | Forecast plot |
| get_frequencies | Extract frequencies for common seasonal periods |
| get_frequencies.character | Extract frequencies for common seasonal periods |
| get_frequencies.NULL | Extract frequencies for common seasonal periods |
| get_frequencies.numeric | Extract frequencies for common seasonal periods |
| get_frequencies.Period | Extract frequencies for common seasonal periods |
| glance.mdl_df | Glance a mable |
| glance.mdl_ts | Glance a mable |
| guide_level | Level shade bar guide |
| hilo | Compute hilo intervals |
| hilo.fbl_ts | Compute hilo intervals |
| hilo.fcdist | Compute hilo intervals |
| interpolate.mdl_df | Interpolate missing values |
| interpolate.mdl_ts | Interpolate missing values |
| interval_accuracy_measures | Interval estimate accuracy measures |
| invert_transformation | Create a new modelling transformation |
| inv_box_cox | Box Cox Transformation |
| is_aggregated | Is the element an aggregation of smaller data |
| is_fable | Is the object a fable |
| is_hilo | Is the object a hilo |
| is_mable | Is the object a mable |
| is_model | Is the object a model |
| MAAPE | Mean Arctangent Absolute Percentage Error |
| mable | Create a new mable |
| MAE | Point estimate accuracy measures |
| MAPE | Point estimate accuracy measures |
| MASE | Point estimate accuracy measures |
| ME | Point estimate accuracy measures |
| min_trace | Minimum trace forecast reconciliation |
| model | Estimate models |
| model.tbl_ts | Estimate models |
| model_lhs | Extract the left hand side of a model |
| model_rhs | Extract the right hand side of a model |
| model_sum | Provide a succinct summary of a model |
| MPE | Point estimate accuracy measures |
| MSE | Point estimate accuracy measures |
| new_fcdist | Create a forecast distribution object |
| new_fcdist_env | Create a forecast distribution object |
| new_hilo | Construct hilo intervals |
| new_model_class | Create a new class of models |
| new_model_definition | Create a new class of models |
| new_specials | Create evaluation environment for specials |
| new_transformation | Create a new modelling transformation |
| parse_model | Parse the model specification for specials |
| parse_model_lhs | Parse the RHS of the model formula for transformations |
| parse_model_rhs | Parse the RHS of the model formula for specials |
| percentile_score | Distribution accuracy measures |
| point_accuracy_measures | Point estimate accuracy measures |
| reconcile | Forecast reconciliation |
| reconcile.mdl_df | Forecast reconciliation |
| refit.mdl_df | Refit a mable to a new dataset |
| refit.mdl_ts | Refit a mable to a new dataset |
| register_feature | Register a feature function |
| report | Report information about an object |
| residuals.mdl_df | Extract residuals values from models |
| residuals.mdl_ts | Extract residuals values from models |
| response | Extract the response variable from a model |
| RMSE | Point estimate accuracy measures |
| scale_level | Level colour scales |
| scale_level_continuous | Level colour scales |
| scale_level_gradient | Level colour scales |
| StatForecast | Forecast plot |
| stream | Extend a fitted model with new data |
| stream.mdl_df | Extend a fitted model with new data |
| tidy.mdl_df | Extract model coefficients from a mable |
| tidy.mdl_ts | Extract model coefficients from a mable |
| traverse | Recursively traverse an object |
| validate_formula | Validate the user provided model |
| winkler_score | Interval estimate accuracy measures |