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>.

Version:	0.1.0
Imports:	AllMetrics, DescribeDF, stats, dplyr, psych, FinTS, tseries, forecast, fGarch, aTSA, neuralnet, e1071
Published:	2023-04-13
DOI:	10.32614/CRAN.package.AriGaMyANNSVR
Author:	Mr. Sandip Garai [aut, cre]
Maintainer:	Mr. Sandip Garai <sandipnicksandy at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	AriGaMyANNSVR results

Documentation:

Reference manual:

AriGaMyANNSVR.pdf

Downloads:

Package source:	AriGaMyANNSVR_0.1.0.tar.gz
Windows binaries:	r-devel: AriGaMyANNSVR_0.1.0.zip, r-release: AriGaMyANNSVR_0.1.0.zip, r-oldrel: AriGaMyANNSVR_0.1.0.zip
macOS binaries:	r-release (arm64): AriGaMyANNSVR_0.1.0.tgz, r-oldrel (arm64): AriGaMyANNSVR_0.1.0.tgz, r-release (x86_64): AriGaMyANNSVR_0.1.0.tgz, r-oldrel (x86_64): AriGaMyANNSVR_0.1.0.tgz

Linking:

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