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-4.5-noble)TSSVM_0.1.0.tar.gz(r-4.4-noble)
TSSVM_0.1.0.tgz(r-4.4-emscripten)TSSVM_0.1.0.tgz(r-4.3-emscripten)
TSSVM.pdf |TSSVM.html✨
TSSVM/json (API)

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

Peer review:

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

1.00 score 174 downloads 1 exports 48 dependencies

Last updated 2 years agofrom:746b57fd51. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linuxOKNov 20 2024

Exports:ARSVM

Dependencies:classclicolorspacecurle1071fansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigproxyquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo