Package: AriGaMyANNSVR 0.1.0

AriGaMyANNSVR: Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models

Describes a series first. After that does time series analysis using one hybrid model and two specially structured Machine Learning (ML) (Artificial Neural Network or ANN and Support Vector Regression or SVR) models. More information can be obtained from Paul and Garai (2022) <doi:10.1007/s41096-022-00128-3>.

Authors:Mr. Sandip Garai [aut, cre]

AriGaMyANNSVR_0.1.0.tar.gz
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AriGaMyANNSVR_0.1.0.tgz(r-4.5-any)AriGaMyANNSVR_0.1.0.tgz(r-4.4-any)AriGaMyANNSVR_0.1.0.tgz(r-4.3-any)
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AriGaMyANNSVR.pdf |AriGaMyANNSVR.html
AriGaMyANNSVR/json (API)

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

On CRAN:

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

1.00 score 733 downloads 6 exports 71 dependencies

Last updated 2 years agofrom:7afec2e98c. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 02 2025
R-4.5-winOKFeb 02 2025
R-4.5-macOKFeb 02 2025
R-4.5-linuxOKFeb 02 2025
R-4.4-winOKFeb 02 2025
R-4.4-macOKFeb 02 2025
R-4.3-winOKFeb 02 2025
R-4.3-macOKFeb 02 2025

Exports:arigamy_annmy_svrseries_descstatseries_nonlinearityseries_stationarity

Dependencies:AllMetricsaTSAclassclicolorspacecurlcvarDerivDescribeDFdplyre1071fansifarverfastICAfBasicsfGarchFinTSfNonlinearforecastfracdiffgbutilsgenericsggplot2glueGPArotationgssgtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmnormtmunsellneuralnetnlmennetpillarpkgconfigproxypsychquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangscalesspatialstabledisttibbletidyselecttimeDatetimeSeriestseriesTTRurcautf8vctrsviridisLitewithrxtszoo