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iForecast (version 1.1.2)
Machine Learning Time Series Forecasting
Description
Compute onestep and multistep time series forecasts for machine learning models.
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Version
1.1.2
1.1.1
1.1.0
1.0.9
1.0.8
1.0.7
1.0.6
1.0.5
1.0.4
1.0.3
1.0.2
1.0.1
Install
install.packages('iForecast')
Monthly Downloads
306
Version
1.1.2
License
GPL (>= 2)
Maintainer
Ho Tsung-wu
Last Published
June 28th, 2025
Functions in iForecast (1.1.2)
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data-sets
Economic and Financial Data Sets
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
tts.var
Estimate Vector AutoregRessive model by
tts.caret
tts.autoML
Train time series by automatic machine learning of
h2o
provided by H2o.ai
iForecast.var
Produce multistep forecasts from machine learning VAR
iForecast
Extract predictions and class probabilities from train objects
rollingWindows
Rolling timeframe for time series anaysis
tts.DeepLearning
It applies the h2o.deeplearning of
h2o
to time series data
iForecast-ttsLSTM
Defunct functions in package ‘iForecast’
iForecast-ttsAutoML
Defunct functions in package ‘iForecast’
iForecast-ttsCaret
Defunct functions in package ‘iForecast’