Core Tools for Packages in the 'fable' Framework

Documentation for package ‘fabletools’ version 0.4.2

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

-- A --

accuracy.fbl_ts	Evaluate accuracy of a forecast or model
accuracy.mdl_df	Evaluate accuracy of a forecast or model
accuracy.mdl_ts	Evaluate accuracy of a forecast or model
ACF1	Point estimate accuracy measures
aggregate_index	Expand a dataset to include temporal aggregates
aggregate_key	Expand a dataset to include other levels of aggregation
agg_vec	Create an aggregation vector
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.forecast	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.data.frame	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

-- B --

bottom_up	Bottom up forecast reconciliation
box_cox	Box Cox Transformation

-- C --

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
combination_weighted	Weighted combination
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
common_xregs	Common exogenous regressors
components.mdl_df	Extract components from a fitted model
components.mdl_ts	Extract components from a fitted model
CRPS	Distribution accuracy measures

-- D --

dable	Create a dable object
decomposition_model	Decomposition modelling
directional_accuracy_measures	Directional accuracy measures
distribution_accuracy_measures	Distribution accuracy measures
distribution_var	Return distribution variable

-- E --

estimate	Estimate a model
estimate.tbl_ts	Estimate a model

-- F --

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_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.mdl_df	Produce forecasts
forecast.mdl_ts	Produce forecasts

-- G --

generate.mdl_df	Generate responses from a mable
generate.mdl_ts	Generate responses from a mable
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

-- H --

hfitted	Extract fitted values from models
hypothesize.mdl_df	Run a hypothesis test from a mable
hypothesize.mdl_ts	Run a hypothesis test from a mable

-- I --

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_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

-- M --

MAAPE	Mean Arctangent Absolute Percentage Error
mable	Create a new mable
mable_vars	Return model column variables
MAE	Point estimate accuracy measures
MAPE	Point estimate accuracy measures
MASE	Point estimate accuracy measures
MDA	Directional accuracy measures
MDPV	Directional accuracy measures
MDV	Directional accuracy measures
ME	Point estimate accuracy measures
middle_out	Middle out forecast reconciliation
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

-- N --

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

-- O --

-- P --

percentile_score	Distribution accuracy measures
pinball_loss	Interval estimate accuracy measures
point_accuracy_measures	Point estimate accuracy measures

-- Q --

Distribution accuracy measures

-- R --

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
response_vars	Return response variables
RMSE	Point estimate accuracy measures
RMSSE	Point estimate accuracy measures

-- S --

scaled_pinball_loss	Interval estimate accuracy measures
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 regressors
stream	Extend a fitted model with new data
stream.mdl_df	Extend a fitted model with new data

-- T --

tidy.mdl_df	Extract model coefficients from a mable
tidy.mdl_ts	Extract model coefficients from a mable
top_down	Top down forecast reconciliation

-- W --

Interval estimate accuracy measures