R Observatory: Metrics for WaveletArima version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

WaveletArima

0.1.2Package record

Wavelet-ARIMA Model for Time Series Forecasting

1packages depend

2.5Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Dr. Ranjit Kumar PaulCRAN page ↗

Noise in the time-series data significantly affects the accuracy of the ARIMA model. Wavelet transformation decomposes the time series data into subcomponents to reduce the noise and help to improve the model performance. The wavelet-ARIMA model can achieve higher prediction accuracy than the traditional ARIMA model. This package provides Wavelet-ARIMA model for time series forecasting based on the algorithm by Aminghafari and Poggi (2012) and Paul and Anjoy (2018) doi:10.1142/S0219691307002002 doi:10.1007/s00704-017-2271-x.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("WaveletArima", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-waveletarima

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-WaveletArima

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-WaveletArima

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 100%2 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

2.5K

CRAN downloads in the past year

Rank #20,106 · ~7/day · ~210/mo

Releases R versions

Daily download trend is not available in this view yet.

22030 days

66690 days

2.5K1 year

Compare downloads with other packages →

Also on75 r2u

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing WaveletArima adds 29 packages (17 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, colorspace 2.0 MB, Rcpp 1.8 MB.

Depends (0)

none

Imports (4)

statswavelets fracdiff forecast

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

hybridts

How these are counted

Code & Tests

People & History

People (3)

Dr. Ranjit Kumar Paul

Author, Maintainer · added in 0.1.2

Mr. Sandipan Samanta

Author · added in 0.1.2

Dr. Md Yeasin

Author · added in 0.1.2

Maintainer since 0.1.0 (2017)

Listed in earlier versions (2)

Ranjit Kumar Paul

no longer listed · 0.1.0 to 0.1.1

Sandipan Samanta

no longer listed · 0.1.0 to 0.1.1

Releases (3)

Pick two releases to compare their code metrics.

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
0.1.2Latest
record
2022-07-02 · current release · diff ↗ ·
removed 1 export
pattern:^[^\\.]
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
0.1.1
record
2018-06-01 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.1.0
record
2017-10-25
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-10-25
Total releases: 3 / 9 yrs
License: GPL-3 OSI
Download size: 3.3 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WaveletArima")

Format

Paul, D. R. K., Samanta, M. S., & Yeasin, D. M. (2022). WaveletArima: Wavelet-ARIMA Model for Time Series Forecasting (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.WaveletArima

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for WaveletArima version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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