DSHW                    Double Seasonal Holt-Winters model
M4_monthly_data         Monthly time series data from the M4
                        Competition
M4_quarterly_data       Quarterly time series data from the M4
                        Competition
MEDIAN                  Median model
SMEAN                   Seasonal mean model
SMEDIAN                 Seasonal median model
SNAIVE2                 Seasonal naive model with weekday-specific lags
TBATS                   TBATS model
acf_vec                 Estimate autocorrelations of a numeric vector
check_data              Check and prepare tsibble data
elec_load               Hourly electricity load (actual values and
                        forecasts)
elec_price              Hourly day-ahead electricity spot prices
estimate_acf            Estimate autocorrelations by time series
estimate_kurtosis       Estimate kurtosis
estimate_mode           Estimate the mode of a distribution
estimate_pacf           Estimate partial autocorrelations by time
                        series
estimate_skewness       Estimate skewness
fitted.DSHW             Extract fitted values from a DSHW model
fitted.MEDIAN           Extract fitted values from a median model
fitted.SMEAN            Extract fitted values from a seasonal mean
                        model
fitted.SMEDIAN          Extract fitted values from a seasonal median
                        model
fitted.SNAIVE2          Extract fitted values from a SNAIVE2 model
fitted.TBATS            Extract fitted values from a TBATS model
forecast.DSHW           Forecast a DSHW model
forecast.MEDIAN         Forecast a median model
forecast.SMEAN          Forecast a seasonal mean model
forecast.SMEDIAN        Forecast a seasonal median model
forecast.SNAIVE2        Forecast a SNAIVE2 model
forecast.TBATS          Forecast a TBATS model
interpolate_missing     Interpolate missing values
mae_vec                 Calculate the mean absolute error
make_accuracy           Estimate point forecast accuracy
make_errors             Calculate forecast errors and percentage errors
make_future             Convert forecasts to a future frame
make_split              Create train-test splits for time series
                        cross-validation
make_tsibble            Convert data to a tsibble
mape_vec                Calculate the mean absolute percentage error
me_vec                  Calculate the mean error
model_sum.DSHW          Summarize a DSHW model
model_sum.MEDIAN        Summarize a median model
model_sum.SMEAN         Summarize a seasonal mean model
model_sum.SMEDIAN       Summarize a seasonal median model
model_sum.SNAIVE2       Summarize a SNAIVE2 model
model_sum.TBATS         Summarize a TBATS model
mpe_vec                 Calculate the mean percentage error
mse_vec                 Calculate the mean squared error
pacf_vec                Estimate partial autocorrelations of a numeric
                        vector
plot_bar                Plot data as a bar chart
plot_density            Plot a kernel density estimate
plot_histogram          Plot data as a histogram
plot_line               Plot data as a line chart
plot_point              Plot data as a scatterplot
plot_qq                 Create a quantile-quantile plot
residuals.DSHW          Extract residuals from a DSHW model
residuals.MEDIAN        Extract residuals from a median model
residuals.SMEAN         Extract residuals from a seasonal mean model
residuals.SMEDIAN       Extract residuals from a seasonal median model
residuals.SNAIVE2       Extract residuals from a SNAIVE2 model
residuals.TBATS         Extract residuals from a TBATS model
rmse_vec                Calculate the root mean squared error
scale_color_tscv        Create a tscv color scale
scale_fill_tscv         Create a tscv fill scale
slice_test              Slice test data from a split frame
slice_train             Slice training data from a split frame
smape_vec               Calculate the symmetric mean absolute
                        percentage error
smooth_outlier          Identify and replace outliers
split_index             Create indices for train and test splits
summarise_data          Summarise time series data
summarise_split         Summarise train-test splits
summarise_stats         Summarise distributional statistics by time
                        series
theme_tscv              Custom ggplot2 theme for tscv
tscv_cols               Extract tscv colors
tscv_pal                Create a tscv color palette
