Extract components from a fitted model
Construct a new set of forecasts
Return distribution variable
Extract fitted values from models
Estimate a model
Distribution accuracy measures
Extract frequencies for common seasonal periods
Produce forecasts
Generate responses from a mable
Run a hypothesis test from a mable
Interpolate missing values
Is the object a model
Box Cox Transformation
Create a dable object
Features by package
Features by tag
Internal vctrs methods
Internal vctrs methods
Internal vctrs methods
Glance a mable
Decomposition modelling
Directional accuracy measures
Create a new class of models
Extract the right hand side of a model
fabletools: Core Tools for Packages in the 'fable' Framework
Create a fable object
Is the object a fable
Interval estimate accuracy measures
Is the object a mable
Create evaluation environment for specials
Parse the model specification for specials
Point estimate accuracy measures
Extract residuals values from models
Identify outliers
Create a new modelling transformation
Return response variables
NULL model
Provide a succinct summary of a model
Forecast reconciliation
Report information about an object
Register a feature function
A set of future scenarios for forecasting
Return model column variables
Create a new mable
Unpack a hilo column
Extract the response variable from a model
Extract features from a dataset
Create a feature set from tags
Is the element an aggregation of smaller data
Validate the user provided model
Refit a mable to a new dataset
Top down forecast reconciliation
Is the object a dable
Estimate models
Extract model coefficients from a mable
Extend a fitted model with new data
Extract the left hand side of a model
Recursively traverse an object
Objects exported from other packages
Minimum trace forecast reconciliation
Middle out forecast reconciliation
Parse the RHS of the model formula for transformations
Parse the RHS of the model formula for specials
Helper special for producing a model matrix of exogenous regressors
Forecast skill score measure
Coerce to a fable object
Expand a dataset to include temporal aggregates
Expand a dataset to include other levels of aggregation
Coerce a dataset to a mable
Evaluate accuracy of a forecast or model
Coerce to a dable object
Mean Arctangent Absolute Percentage Error
Create an aggregation vector
Augment a mable
Internal vctrs methods
Bottom up forecast reconciliation
Ensemble combination
Combination modelling
Common exogenous regressors
Weighted combination
Plot time series from a tsibble
Decomposition plots
Plot a set of forecasts
Bias adjust back-transformation functions