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.zip(r-4.7-any)TSSVM_0.1.0.zip(r-4.6-any)
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✨
DESCRIPTION
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 269 downloads 1 exports 34 dependencies

Last updated from:746b57fd51. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK114
source / vignettesOK149
linux-releaseOK113
windows-develOK77
windows-releaseOK91
wasm-releaseOK87

Exports:ARSVM

Dependencies:classclicolorspacecpp11e1071farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetproxyR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo