Package: THETASVM 0.1.0

Mrinmoy Ray

THETASVM: Time Series Forecasting using THETA-SVM Hybrid Model

Testing, Implementation, and Forecasting of the THETA-SVM hybrid model. The THETA-SVM hybrid model combines the distinct strengths of the THETA model and the Support Vector Machine (SVM) model for time series forecasting.For method details see Bhattacharyya et al. (2022) <doi:10.1007/s11071-021-07099-3>.

Authors:Fasila K. P. [aut, ctb], Mrinmoy Ray [aut, cre], Rajeev Ranjan Kumar [aut, ctb], K. N. Singh [aut, ctb], Amrender Kumar [aut, ctb], Santosha Rathod [aut, ctb]

THETASVM_0.1.0.tar.gz
THETASVM_0.1.0.tar.gz(r-4.7-any)THETASVM_0.1.0.tar.gz(r-4.6-any)
THETASVM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
THETASVM/json (API)

# Install 'THETASVM' in R:
install.packages('THETASVM', 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.

1.00 score 125 downloads 1 exports 43 dependencies

Last updated from:55e336acb5. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK175
linux-release-x86_64OK127
wasm-releaseOK112

Exports:THSVM

Dependencies:classclicolorspacecpp11curle1071farverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSnlmennetproxyquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDatetseriesTSSVMTTRurcavctrsviridisLitewithrxtszoo