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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:746b57fd51. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 21 2024 |
R-4.5-linux | OK | Oct 21 2024 |
Exports:ARSVM
Dependencies:classclicolorspacecurle1071fansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigproxyquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo
Readme and manuals
Help Manual
Help page | Topics |
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Auto-Regressive Support Vector Machine | ARSVM |