R Observatory: Metrics for WACS version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

WACS

1.2.0Package record

Multivariate Weather-State Approach Conditionally Skew-Normal Generator

0packages depend

2.8Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Ronan TréposCRAN page ↗Repository ↗Issues ↗

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

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

install.packages("WACS", 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-wacs

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-WACS

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-WACS

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: 1.7 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 OK2026-06-04

Show 1 earlier changeHide 1 earlier change

NOTE14 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 10includes a package overview page
Examples that run: 0%9 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 88%
Help pages citing references: 0%

How these are measured

Downloads

2.8K

CRAN downloads in the past year

Rank #10,737 · ~8/day · ~234/mo

Releases R versions

Daily download trend is not available in this view yet.

30430 days

97190 days

2.8K1 year

Compare downloads with other packages →

Also on74 r2u4 autocran

How downloads are counted

Repository

forge.inrae.fr/rtrepos/weathergen ↗

0Stars

0Forks

3Open issues

0Open PRs

0Releases

62Commits

8Commit identities

62 commits · Last activity 2026-05-21

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: GitHub only
Median days to close, 50 most recently updated closed PRs: GitHub only

How these are measured

PracticesBeta

Checks run against forge.inrae.fr/rtrepos/weathergen on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing WACS adds 7 packages (6 with compiled code, 6.9 MB of source tarballs). Heaviest: mclust 2.7 MB, sandwich 1.4 MB, mvtnorm 1.0 MB.

Depends (1)

R >= 3.5.0

Imports (4)

mclust mnormt tmvtnorm mvtnorm

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Ronan Trépos

Author, Maintainer since 1.1.0 (2020) · added in 1.1.0

Denis Allard

Author

Previously maintained by Denis Allard (1.0).

Listed in earlier versions (1)

Ronan Trepos

no longer listed · 1.0

Releases (3)

Pick two releases to compare their code metrics.

1.2.0Latest
record
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
unarchivedReturned to CRAN
2020-06-05
1.1.0
record
2020-06-05 · diff ↗
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
record
2016-02-25

Show 1 earlier eventHide 1 earlier event

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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WACS")

Format

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 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 WACS version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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