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

Peer review:

On CRAN:

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

6 exports 0.00 score 71 dependencies 1.2k downloads

Last updated 1 years agofrom:7afec2e98c. Checks:OK: 7. Indexed: yes.

Exports:arigamy_annmy_svrseries_descstatseries_nonlinearityseries_stationarity

Dependencies:AllMetricsaTSAclassclicolorspacecurlcvarDerivDescribeDFdplyre1071fansifarverfastICAfBasicsfGarchFinTSfNonlinearforecastfracdiffgbutilsgenericsggplot2glueGPArotationgssgtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmnormtmunsellneuralnetnlmennetpillarpkgconfigproxypsychquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangscalesspatialstabledisttibbletidyselecttimeDatetimeSeriestseriesTTRurcautf8vctrsviridisLitewithrxtszoo