
Package index
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add_index() - Adds a sequential index column to a data frame
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arima_string() - Print the ARIMA model parameters
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bats_string() - Print the BATS model parameters
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bike_sales - Fictional sales data for bike shops purchasing Cannondale bikes
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sw_augment() - Augment data according to a tidied model
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sw_augment(<default>) - Default augment method
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sw_augment_columns() - Augments data
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sw_glance() - Construct a single row summary "glance" of a model, fit, or other object
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sw_glance(<default>) - Default glance method
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sw_sweep() - Tidy forecast objects
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sw_tidy() - Tidy the result of a time-series model into a summary tibble
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sw_tidy(<default>) - Default tidying method
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sw_tidy_decomp() - Coerces decomposed time-series objects to tibble format.
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tbats_string() - Print the TBATS model parameters
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sw_tidy(<HoltWinters>)sw_glance(<HoltWinters>)sw_augment(<HoltWinters>)sw_tidy_decomp(<HoltWinters>) - Tidying methods for HoltWinters modeling of time series
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sw_tidy(<StructTS>)sw_glance(<StructTS>)sw_augment(<StructTS>) - Tidying methods for StructTS (Error, Trend, Seasonal) / exponential smoothing modeling of time series
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sw_tidy(<Arima>)sw_glance(<Arima>)sw_augment(<Arima>)sw_tidy(<stlm>) - Tidying methods for ARIMA modeling of time series
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sw_tidy(<bats>)sw_glance(<bats>)sw_augment(<bats>)sw_tidy_decomp(<bats>) - Tidying methods for BATS and TBATS modeling of time series
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sw_tidy_decomp(<decomposed.ts>) - Tidying methods for decomposed time series
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sw_tidy(<ets>)sw_glance(<ets>)sw_augment(<ets>)sw_tidy_decomp(<ets>) - Tidying methods for ETS (Error, Trend, Seasonal) exponential smoothing modeling of time series
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sw_tidy(<nnetar>)sw_glance(<nnetar>)sw_augment(<nnetar>) - Tidying methods for Nural Network Time Series models
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sw_tidy(<stl>)sw_tidy_decomp(<stl>)sw_tidy_decomp(<stlm>)sw_glance(<stlm>)sw_augment(<stlm>) - Tidying methods for STL (Seasonal, Trend, Level) decomposition of time series
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validate_index() - Validates data frame has column named the same name as variable rename_index