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.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'))

Peer review:

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 678 downloads 6 exports 71 dependencies

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

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:arigamy_annmy_svrseries_descstatseries_nonlinearityseries_stationarity

Dependencies:AllMetricsaTSAclassclicolorspacecurlcvarDerivDescribeDFdplyre1071fansifarverfastICAfBasicsfGarchFinTSfNonlinearforecastfracdiffgbutilsgenericsggplot2glueGPArotationgssgtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmnormtmunsellneuralnetnlmennetpillarpkgconfigproxypsychquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangscalesspatialstabledisttibbletidyselecttimeDatetimeSeriestseriesTTRurcautf8vctrsviridisLitewithrxtszoo