R Observatory: Metrics for WaveST version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

WaveST

0.1.0Package record

Wavelet-Based Spatial Time Series Models

0packages depend

2.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Dr. Ranjit Kumar PaulCRAN page ↗

An integrated wavelet-based spatial time series modelling framework designed to enhance predictive accuracy under noisy and nonstationary conditions by jointly exploiting multi-resolution (wavelet) information and spatial dependence. The package implements WaveSARIMA() (Wavelet Based Spatial AutoRegressive Integrated Moving Average model using regression features with forecast::auto.arima()) and WaveSNN() (Wavelet Based Spatial Neural Network model using neuralnet with hyperparameter search). Both functions support spatial transformation via a user-supplied spatial matrix, lag feature construction, MODWT-based wavelet sub-series feature generation, time-ordered train/test splitting, and performance evaluation (Root Mean Square Error (RMSE), Mean Absolute Error (MAE), R-squared (R²), and Mean Absolute Percentage Error (MAPE)), returning fitted models and actual vs predicted values for train and test sets. The package has been developed using the algorithm of Paul et al. (2023) doi:10.1007/s43538-025-00581-1.

Install

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

install.packages("WaveST", 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-wavest

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-WaveST

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-WaveST

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

Additional issues

donttest

CRAN check page ↗

Slowest check: 3.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 2 earlier changesHide 2 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK5 OK2026-03-17

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 0%2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 88%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #17,199 · ~7/day · ~224/mo

Releases R versions

Daily download trend is not available in this view yet.

25830 days

74590 days

2.7K1 year

Compare downloads with other packages →

Also on45 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing WaveST adds 48 packages (28 with compiled code, 34 MB of source tarballs). Heaviest: ggplot2 6.0 MB, smooth 3.4 MB, greybox 2.5 MB.

Depends (0)

none

Imports (5)

forecaststatsneuralnet tsutils wavelets

LinkingTo (0)

none

Suggests (3)

devtools roxygen2 usethis

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Dr. Ranjit Kumar Paul

Author, Maintainer since 0.1.0 (2026)

Akarsh Kumar Singh

Author

Dr. Md Yeasin

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
record
2026-03-16 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-16
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Download size: 6.6 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WaveST")

Format

Paul, D. R. K., Singh, A. K., & Yeasin, D. M. (2026). WaveST: Wavelet-Based Spatial Time Series Models (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.WaveST

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 WaveST version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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