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WACS

1.2.0

Multivariate Weather-State Approach Conditionally Skew-Normal Generator

0packages depend
2.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Ronan TréposFirst published 2016-02-253 releasesCRAN page ↗

A multivariate weather generator for daily climate variables based on weather-states (Flecher et al. (2010) doi:10.1029/2009WR008098). It uses a Markov chain for modeling the succession of weather states. Conditionally to the weather states, the multivariate variables are modeled using the family of Complete Skew-Normal distributions. Parameters are estimated on measured series. Must include the variable 'Rain' and can accept as many other variables as desired.

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
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
  • OK2026-06-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
88%
References docs
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #10,518 · ~7/day · ~214/mo
Daily download trend is not available in this view yet.
21030 days
93190 days
2.6K1 year
Compare downloads with other packages →
Also on102 r2u22 autocran

Repository

Repository practices

Upstream repositoryBeta

Repository forge.inrae.fr/rtrepos/weathergen is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer · added in 1.1.0
Authors (2)
Author, Maintainer · added in 1.1.0
Listed in earlier versions (1)
no longer listed · 1.0
Package Timeline

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

  • 1.2.0Latest
    2026-05-29 · current release · diff ↗
  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.0
    2020-06-05 · diff ↗
  • unarchivedReturned to CRAN
    2020-06-05
  • R
    R 4.0.0 released · 2020-04-24
  • archivedRemoved from CRAN
    2019-07-20
    check problems were not corrected in time
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0
    2016-02-25
Show 1 earlier events
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-02-25
Total releases
3 / 10 yrs
License
GPL (>= 2.0)
Minimum R
≥ 3.5.0
Bundled data
154 KB / 1 file
Download size
177 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WACS")
Trépos, R., & Allard, D. (2026). WACS: Multivariate Weather-State Approach Conditionally Skew-Normal Generator (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.WACS

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 WACS version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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