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iForecast (version 1.1.0)
Machine Learning Time Series Forecasting
Description
Compute static, onestep and multistep time series forecasts for machine learning models.
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1.1.1
1.1.0
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1.0.5
1.0.4
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Install
install.packages('iForecast')
Monthly Downloads
432
Version
1.1.0
License
GPL (>= 2)
Maintainer
Ho Tsung-wu
Last Published
January 8th, 2025
Functions in iForecast (1.1.0)
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iForecast-ttsCaret
Defunct functions in package ‘iForecast’
tts.caret
Train time series by
caret
and produce two types of time series forecasts: static and dynamic
Accuracy
Accuracy measures for a forecast model
data-sets
Economic and Financial Data Sets
iForecast-ttsLSTM
Defunct functions in package ‘iForecast’
iForecast
Extract predictions and class probabilities from train objects
tts.autoML
Train time series by automatic machine learning of
h2o
provided by H2O.ai
rollingWindows
Rolling timeframe for time series anaysis
iForecast-ttsAutoML
Defunct functions in package ‘iForecast’