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AriGaMyANNSVR
View on CRAN: Click
here
Download and install AriGaMyANNSVR package within the R console
Install from CRAN:
install.packages("AriGaMyANNSVR")
Install from Github:
library("remotes")
install_github("cran/AriGaMyANNSVR")
Install by package version:
library("remotes")
install_version("AriGaMyANNSVR", "0.1.0")
Attach the package and use:
library("AriGaMyANNSVR")
Maintained by
Mr. Sandip Garai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.AriGaMyANNSVR . AriGaMyANNSVR results . AriGaMyANNSVR.pdf . AriGaMyANNSVR_0.1.0.tar.gz . AriGaMyANNSVR_0.1.0.zip . AriGaMyANNSVR_0.1.0.zip . AriGaMyANNSVR_0.1.0.zip . AriGaMyANNSVR_0.1.0.tgz . AriGaMyANNSVR_0.1.0.tgz . AriGaMyANNSVR_0.1.0.tgz . AriGaMyANNSVR_0.1.0.tgz . https://CRAN.R-project.org/package=AriGaMyANNSVR .
First Published: 2023-04-13
Latest Update: 2023-04-13
Description:
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) .
How to cite:
Mr. Sandip Garai (2023). AriGaMyANNSVR: Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models. R package version 0.1.0, https://cran.r-project.org/web/packages/AriGaMyANNSVR. Accessed 12 May. 2025.
Previous versions and publish date:
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Complete documentation for AriGaMyANNSVR
Functions, R codes and Examples using
the AriGaMyANNSVR R package
Some associated functions: ariga . my_ann . my_svr . series_descstat . series_nonlinearity . series_stationarity .
Some associated R codes: arigamyannsvr.R . Full AriGaMyANNSVR package functions and examples
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