R Observatory: Metrics for wxgenR version 1.4.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

wxgenR

1.4.5Package record

A Stochastic Weather Generator with Seasonality

0packages depend

2.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by David WoodsonCRAN page ↗

A weather generator to simulate precipitation and temperature for regions with seasonality. Users input training data containing precipitation, temperature, and seasonality (up to 26 seasons). Including weather season as a training variable allows users to explore the effects of potential changes in season duration as well as average start- and end-time dates due to phenomena like climate change. Data for training should be a single time series but can originate from station data, basin averages, grid cells, etc. Bearup, L., Gangopadhyay, S., & Mikkelson, K. (2021). "Hydroclimate Analysis Lower Santa Cruz River Basin Study (Technical Memorandum No ENV-2020-056)." Bureau of Reclamation. Gangopadhyay, S., Bearup, L. A., Verdin, A., Pruitt, T., Halper, E., & Shamir, E. (2019, December 1). "A collaborative stochastic weather generator for climate impacts assessment in the Lower Santa Cruz River Basin, Arizona." Fall Meeting 2019, American Geophysical Union. https://ui.adsabs.harvard.edu/abs/2019AGUFMGC41G1267G.

Install

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

install.packages("wxgenR", 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-wxgenr

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-wxgenR

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-wxgenR

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: 8.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.4.5

READMENoVignettesYes · 2 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 14 (1 internal)includes a package overview page
Examples that run: 67%8 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 21%

Vignettes (2)

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #15,535 · ~7/day · ~218/mo

Releases R versions

Daily download trend is not available in this view yet.

34530 days

77790 days

2.6K1 year

Compare downloads with other packages →

Also on77 r2u12 autocran

How downloads are counted

Dependencies

Declared dependencies

31 external dependencies (excludes base and recommended)

Installing wxgenR adds 84 packages (41 with compiled code, 74 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (1)

R >= 3.5.0

Imports (15)

lubridate msm sm dplyr plyr foreachparalleldoParallelstatsutilsmagrittr doRNG mc2d qmap tidyr

LinkingTo (0)

none

Suggests (19)

knitr rmarkdown reshape2 ggpubr moments seas padr hydroGOF SpecsVerification ggridges tigris terra stringr mapview xts sf lfstat FedData ggplot2

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 (7)

David Woodson

Author, Maintainer since 1.3.4 (2023)

Lindsay Bearup

Author

Subhrendu Gangopadhyay

Author

Author

Author

Author

Author

Releases (8)

Pick two releases to compare their code metrics.

1.4.5Latest
record
2026-05-04 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.4.4
record
2025-04-14 · diff ↗ ·
added 2 exports
generate_TmaxTmin, multisite_shuffle
R
R 4.5.0 released · 2025-04-11
1.4.3
record
2025-03-15 · diff ↗
1.4.2
record
2024-11-02 · diff ↗
1.4.1
record
2024-07-16 · diff ↗
1.4.0
record
2024-06-12 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.3.6
record
2023-09-18 · diff ↗
1.3.4
record
2023-09-14
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-09-14
Total releases: 8 / 3 yrs
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the United States Bureau of Reclamation, an agency of the United States Department of Interior.
Minimum R: ≥ 3.5.0
Bundled data: 2.1 MB / 4 files
Download size: 2.1 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("wxgenR")

Format

Woodson, D., Bearup, L., Gangopadhyay, S., Halper, E., McGuire, M., Shamir, E., & Verdin, A. (2026). wxgenR: A Stochastic Weather Generator with Seasonality (Version 1.4.5) [Computer software]. https://doi.org/10.32614/CRAN.package.wxgenR

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 wxgenR version 1.4.5 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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