Other packages > Find by keyword >

AriGaMyANNSVR  

Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models
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]
All associated links for this package
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 23 Jul. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited AriGaMyANNSVR R package
View AriGaMyANNSVR citation profile
Other R packages that AriGaMyANNSVR depends, imports, suggests or enhances
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  
ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  
fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  
MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA