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TSSVM  

Time Series Forecasting using SVM Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("TSSVM", "0.1.0")



Attach the package and use:
library("TSSVM")
Maintained by
Mrinmoy Ray
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-02
Latest Update: 2022-12-02
Description:
Implementation and forecasting univariate time series data using the Support Vector Machine model. Support Vector Machine is one of the prominent machine learning approach for non-linear time series forecasting. For method details see Kim, K. (2003) <doi:10.1016/S0925-2312(03)00372-2>.
How to cite:
Mrinmoy Ray (2022). TSSVM: Time Series Forecasting using SVM Model. R package version 0.1.0, https://cran.r-project.org/web/packages/TSSVM
Previous versions and publish date:
No previous versions
Other packages that cited TSSVM R package
View TSSVM citation profile
Other R packages that TSSVM depends, imports, suggests or enhances
Functions, R codes and Examples using the TSSVM R package
Some associated functions: ARSVM . 
Some associated R codes: ARSVM.R .  Full TSSVM package functions and examples
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