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WASP

1.4.5

Wavelet System Prediction

1packages depend
8.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Ze JiangFirst published 2021-08-236 releasesCRAN page ↗GitHub ↗

The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) doi:10.1029/2019WR026962, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) doi:10.1016/j.envsoft.2020.104907, and Jiang, Z., Sharma, A., & Johnson, F. (2021) doi:10.1016/J.JHYDROL.2021.126816.

Install

Health

CRAN checks
13OK
Slowest check: 4.4 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 163 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
96%
Documented parameters
99%
Return-value docs
100%
References docs
44%

Downloads

8.6K
CRAN downloads in the past year
Rank #5,211 · ~23/day · ~713/mo
Daily download trend is not available in this view yet.
20730 days
1.5K90 days
8.6K1 year
Compare downloads with other packages →
Also on191 r2u23 autocran48 c2d4u

Repository

Repository
10Stars
2Forks
0Open issues
0Open PRs
6Releases
123Commits
2Contributors
waveletpredictiontransformation
123 commits · Last activity 2026-05-03

Stars over time

2025-02-24 · 92026-07-07 · 10

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/zejiang-unsw/wasp on 2026-08-16.

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer · added in 1.4.2
Authors (4)
Author, Maintainer · added in 1.4.2
Author · added in 1.4.2
Author · added in 1.4.2
Author · added in 1.4.2
Listed in earlier versions (3)
no longer listed · 1.4.0 to 1.4.1
no longer listed · 1.4.0 to 1.4.1
no longer listed · 1.4.0 to 1.4.1
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.4.5Latest
    2026-01-22 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.4.4
    2024-07-20 · diff ↗
  • unarchivedReturned to CRAN
    2024-07-20
  • archivedRemoved from CRAN
    2024-06-27
    does not use 'synthesis' conditionally By the same unresponsive 'maintainer'
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.4.3
    2022-08-22 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.4.2
    2022-02-21 · diff ↗
  • 1.4.1
    2021-09-02 · diff ↗
  • 1.4.0
    2021-08-23
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-08-23
Total releases
6 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.6.0
Bundled data
2.6 MB / 12 files
Download size
3.5 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WASP")
Jiang, Z., Johnson, F., Rashid, M. M., & Sharma, A. (2026). WASP: Wavelet System Prediction (Version 1.4.5) [Computer software]. https://doi.org/10.32614/CRAN.package.WASP

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 WASP version 1.4.5 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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