fabletools0.5.0 package

Evaluate accuracy of a forecast or model

Create an aggregation vector

Expand a dataset to include temporal aggregates

Expand a dataset to include other levels of aggregation

Internal vctrs methods

Coerce a dataset to a mable

Coerce to a dable object

Coerce to a fable object

Augment a mable

Decomposition plots

Plot a set of forecasts

Plot time series from a tsibble

Bias adjust back-transformation functions

Bottom up forecast reconciliation

Box Cox Transformation

Ensemble combination

Combination modelling

Weighted combination

Common exogenous regressors

Extract components from a fitted model

Construct a new set of forecasts

Internal vctrs methods

Create a dable object

Decomposition modelling

Directional accuracy measures

Distribution accuracy measures

Return distribution variable

Estimate a model

Internal vctrs methods

Create a fable object

fabletools: Core Tools for Packages in the 'fable' Framework

Create a feature set from tags

Features by package

Features by tag

Extract features from a dataset

Extract fitted values from models

Produce forecasts

Extract frequencies for common seasonal periods

Generate responses from a mable

Glance a mable

Run a hypothesis test from a mable

Interpolate missing values

Interval estimate accuracy measures

Compute Impulse Response Function (IRF)

Is the element an aggregation of smaller data

Is the object a dable

Is the object a fable

Is the object a mable

Is the object a model

Mean Arctangent Absolute Percentage Error

Return model column variables

Internal vctrs methods

Create a new mable

Middle out forecast reconciliation

Minimum trace forecast reconciliation

Extract the left hand side of a model

Extract the right hand side of a model

Provide a succinct summary of a model

Estimate models

Create evaluation environment for specials

Create a new modelling transformation

Create a new class of models

NULL model

Identify outliers

Parse the RHS of the model formula for transformations

Parse the RHS of the model formula for specials

Parse the model specification for specials

Point estimate accuracy measures

Forecast reconciliation

Objects exported from other packages

Refit a mable to a new dataset

Register a feature function

Report information about an object

Extract residuals values from models

Return response variables

Extract the response variable from a model

A set of future scenarios for forecasting

Forecast skill score measure

Helper special for producing a model matrix of exogenous regressors

Extend a fitted model with new data

Extract model coefficients from a mable

Top down forecast reconciliation

Recursively traverse an object

Unpack a hilo column

Validate the user provided model