Man pages for fabletools
Core Tools for Packages in the 'fable' Framework
| accuracy | Evaluate accuracy of a forecast or model |
| aggregate_index | Expand a dataset to include temporal aggregates |
| aggregate_key | Expand a dataset to include other levels of aggregation |
| aggregation-vctrs | Internal vctrs methods |
| agg_vec | Create an aggregation vector |
| as-dable | Coerce to a dable object |
| as-fable | Coerce to a fable object |
| as_mable | Coerce a dataset to a mable |
| augment | Augment a mable |
| 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 |
| bottom_up | Bottom up forecast reconciliation |
| box_cox | Box Cox Transformation |
| combination_ensemble | Ensemble combination |
| combination_model | Combination modelling |
| combination_weighted | Weighted combination |
| common_xregs | Common exogenous regressors |
| components | Extract components from a fitted model |
| construct_fc | Construct a new set of forecasts |
| dable | Create a dable object |
| dable-vctrs | Internal vctrs methods |
| decomposition_model | Decomposition modelling |
| directional_accuracy_measures | Directional accuracy measures |
| distribution_accuracy_measures | Distribution accuracy measures |
| distribution_var | Return distribution variable |
| estimate | Estimate a model |
| fable | Create a fable object |
| fabletools-package | fabletools: Core Tools for Packages in the 'fable' Framework |
| fable-vctrs | Internal vctrs methods |
| features | Extract features from a dataset |
| features_by_pkg | Features by package |
| features_by_tag | Features by tag |
| feature_set | Create a feature set from tags |
| fitted.mdl_df | Extract fitted values from models |
| forecast | Produce forecasts |
| freq_tools | Extract frequencies for common seasonal periods |
| generate.mdl_df | Generate responses from a mable |
| glance | Glance a mable |
| hypothesize.mdl_df | Run a hypothesis test from a mable |
| interpolate | Interpolate missing values |
| interval_accuracy_measures | Interval estimate accuracy measures |
| IRF | Compute Impulse Response Function (IRF) |
| is_aggregated | Is the element an aggregation of smaller data |
| is_dable | Is the object a dable |
| is_fable | Is the object a fable |
| 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 |
| mable_vars | Return model column variables |
| mable-vctrs | Internal vctrs methods |
| middle_out | Middle out forecast reconciliation |
| min_trace | Minimum trace forecast reconciliation |
| model | 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 |
| new-model-class | Create a new class of models |
| new_specials | Create evaluation environment for specials |
| new_transformation | Create a new modelling transformation |
| null_model | NULL model |
| outliers | Identify outliers |
| 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 |
| point_accuracy_measures | Point estimate accuracy measures |
| reconcile | Forecast reconciliation |
| reexports | Objects exported from other packages |
| refit | 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 |
| response | Extract the response variable from a model |
| response_vars | Return response variables |
| scenarios | A set of future scenarios for forecasting |
| skill_score | Forecast skill score measure |
| special_xreg | Helper special for producing a model matrix of exogenous... |
| stream | Extend a fitted model with new data |
| tidy | Extract model coefficients from a mable |
| top_down | Top down forecast reconciliation |
| traverse | Recursively traverse an object |
| unpack_hilo | Unpack a hilo column |
| validate_formula | Validate the user provided model |
