R: Machine Learning Time Series Forecasting

# Machine Learning Time Series Forecasting

## Documentation for package ‘iForecast’ version 1.1.2

- DESCRIPTION file

## Help Pages

Accuracy | Accuracy measures for a forecast model
bc | Economic and Financial Data Sets
ES_15m | Economic and Financial Data Sets
ES_Daily | Economic and Financial Data Sets
iForecast | Extract predictions and class probabilities from train objects
iForecast.var | Produce multistep forecasts from machine learning VAR
macrodata | Economic and Financial Data Sets
rollingWindows | Rolling timeframe for time series anaysis
tts.autoML | Train time series by automatic machine learning of 'h2o' provided by H2o.ai
tts.caret | Train time series by 'caret' and produce two types of time series forecasts: static and dynamic
tts.DeepLearning | It applies the h2o.deeplearning of 'h2o' to time series data
tts.var | Estimate Vector AutoregRessive model by 'tts.caret'
ttsAutoML | Defunct functions in package 'iForecast'
ttsCaret | Defunct functions in package 'iForecast'
ttsLSTM | Defunct functions in package 'iForecast'