Package: TSSVM 0.1.0

Mrinmoy Ray

TSSVM: Time Series Forecasting using SVM Model

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>.

Authors:Mrinmoy Ray [aut, cre], Samir Barman [aut, ctb], Kanchan Sinha [aut, ctb], K. N. Singh [aut, ctb]

TSSVM_0.1.0.tar.gz
TSSVM_0.1.0.tar.gz(r-4.7-any)TSSVM_0.1.0.tar.gz(r-4.6-any)
TSSVM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TSSVM/json (API)

# Install 'TSSVM' in R:
install.packages('TSSVM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 1 packages 204 downloads 1 exports 35 dependencies

Last updated from:746b57fd51. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK162
linux-release-x86_64OK122
wasm-releaseOK106

Exports:ARSVM

Dependencies:classclicolorspacecpp11e1071farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrMASSnlmennetproxyR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo