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TSSVM
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
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[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. Accessed 05 Oct. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for TSSVM
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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