autoplot.foresight_backtest
                        Charts of a backtest or a decomposition
backtest                Choose a model by what would have worked
candidates_default      Ready sets of candidates
decompose_stl           Decompose a series by STL or MSTL
fill_gaps               Gaps and outliers
fit_model               Fit a model and forecast
foresight_threads       Threads used by backtests and ensembles
fourier_terms           External variables for a regression with ARIMA
                        errors
kpss_statistic          Tests and transformations
mape                    Accuracy of forecasts
model_arima             Seasonal ARIMA
model_auto_arima        ARIMA with automatic orders
model_box_cox           A model on the log or Box-Cox scale
model_croston           Intermittent demand
model_decomposed        Forecast the seasonally adjusted series
model_ensemble          Several models combined
model_ets               Exponential smoothing
model_holt_winters      Holt-Winters
model_log_linear        Log-linear regression
model_mean              Benchmark models
model_name              Name and description of a model
model_prophet           Prophet-style trend with changepoints and
                        events
model_tbats             TBATS
model_theta             Theta method
theme_foresight         The theme of the package's charts
total_forecast          Forecast of a total
with_name               Rename a model
