Forecasts Chosen by What Would Have Worked

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Documentation for package ‘foresightr’ version 0.1.1

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

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