R: Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms

# Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms

## Documentation for package ‘caretForecast’ version 0.1.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

ARml | Autoregressive forecasting using various Machine Learning models.
conformalRegressor | Fit a conformal regressor.
conformalRegressorByHorizon | Fit a horizon-specific conformal regressor for time series forecasting.
forecast.ARml | Forecasting using ARml model
get_var_imp | Variable importance for forecasting model.
predict.conformalRegressor | Predict a conformalRegressor
predict.conformalRegressorByHorizon | Predict intervals from a horizon-specific conformal regressor
retail | Grouped sales data from an Australian Retailer
retail_wide | Sales data from an Australian Retailer in time series format
split_ts | Split a time series into training and testing sets
suggested_methods | Suggested methods for ARml