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ARIMAANN

0.1.0Package record

Time Series Forecasting using ARIMA-ANN Hybrid Model

0packages depend
3.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Testing, Implementation, and Forecasting of the ARIMA-ANN hybrid model. The ARIMA-ANN hybrid model combines the distinct strengths of the Auto-Regressive Integrated Moving Average (ARIMA) model and the Artificial Neural Network (ANN) model for time series forecasting.For method details see Zhang, GP (2003) doi:10.1016/S0925-2312(01)00702-0.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
1
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
100%

Downloads

3.4K
CRAN downloads in the past year
Rank #12,391 · ~9/day · ~286/mo
Daily download trend is not available in this view yet.
31630 days
89390 days
3.4K1 year
Compare downloads with other packages →
Also on93 r2u13 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing ARIMAANN adds 35 packages (22 with compiled code, 24 MB of source tarballs). Heaviest: ggplot2 6.0 MB, colorspace 2.0 MB, Rcpp 1.8 MB.

Depends (4)
R >= 2.3.1statsforecasttseries
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.0 (2022)
Author, Contributor
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0Latest
    2022-10-13 · current release
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-10-13
Total releases
1 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 2.3.1
Download size
2.0 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ARIMAANN")
Ray, M., & V., R. (2022). ARIMAANN: Time Series Forecasting using ARIMA-ANN Hybrid Model (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ARIMAANN

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ARIMAANN version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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