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iForecast  

Machine Learning Time Series Forecasting
View on CRAN: Click here


Download and install iForecast package within the R console
Install from CRAN:
install.packages("iForecast")

Install from Github:
library("remotes")
install_github("cran/iForecast")

Install by package version:
library("remotes")
install_version("iForecast", "1.1.0")



Attach the package and use:
library("iForecast")
Maintained by
Ho Tsung-wu
[Scholar Profile | Author Map]
First Published: 2020-11-04
Latest Update: 2023-07-01
Description:
Compute static, onestep and multistep time series forecasts for machine learning models.
How to cite:
Ho Tsung-wu (2020). iForecast: Machine Learning Time Series Forecasting. R package version 1.1.0, https://cran.r-project.org/web/packages/iForecast. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0.1 (2020-11-04 16:30), 1.0.2 (2021-02-21 06:50), 1.0.3 (2021-07-30 08:20), 1.0.4 (2021-11-18 07:10), 1.0.5 (2022-04-26 13:20), 1.0.6 (2022-07-09 08:30), 1.0.7 (2023-07-01 10:10), 1.0.8 (2024-09-14 10:10), 1.0.9 (2024-10-31 16:40), 1.1.0 (2025-01-08 09:10)
Other packages that cited iForecast R package
View iForecast citation profile
Other R packages that iForecast depends, imports, suggests or enhances
Complete documentation for iForecast
Functions, R codes and Examples using the iForecast R package
Some associated functions: data-sets . iForecast . rollingWindows . ttsAutoML . ttsCaret . ttsLSTM . 
Some associated R codes: rollingWindows.R . ttsAutoML.R . ttsCaret.R . ttsLSTM.R . ttsPredict.R .  Full iForecast package functions and examples
Downloads during the last 30 days
03/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/05Downloads for iForecast05101520253035404550TrendBars

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