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Wavelet System Prediction

0packages dependsuggested by 1
8.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 4.6 min · r-release-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
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.4.5
READMEYes · 163 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · does not mention 1.4.5Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
41includes a package overview page
Examples that run
96%23 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
83%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
44%

Also includes 1 demo script (run with demo())

Downloads

8.1K
CRAN downloads in the past year
Rank #7,094 · ~22/day · ~675/mo
Daily download trend is not available in this view yet.
52330 days
1.2K90 days
8.1K1 year
Compare downloads with other packages →
Also on137 r2u9 autocran133 c2d4u

Repository

Moved from zejiang-unsw/wasp.

10Stars
2Forks
0Open issues
0Open PRs
6Releases
123Commits
2Commit identities
waveletpredictiontransformation
123 commits · Last activity 2026-05-03
Responsiveness
How these are sampled
PRs merged (all time)
75%
Median days to close, 50 most recently updated closed issues
971
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-02-24 · 92026-07-07 · 10
PracticesBeta

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

Checks run against github.com/zejiang-unsw/wasp on 2026-10-11.

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing WASP adds 44 packages (24 with compiled code, 38 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, sp 4.3 MB.

Depends (1)
R >= 3.6.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (4)
Author, Maintainer since 1.4.0 (2021)
Author · added in 1.4.2
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.4.5Latest
    record
    2026-01-22 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • unarchivedReturned to CRAN
    2024-07-20
  • 1.4.4
    record
    2024-07-20 · diff ↗ ·
    added 2 exports
    SPI.calc, pic.calc
  • 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
    record
    2022-08-22 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.4.2
    record
    2022-02-21 · diff ↗
  • 1.4.1
    record
    2021-09-02 · diff ↗
  • 1.4.0
    record
    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
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("WASP")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1029/2019wr026962, 10.1016/j.envsoft.2020.104907, 10.1016/j.jhydrol.2021.126816.

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 v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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