R Observatory: Metrics for WaMaSim version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

WaMaSim

1.0.0Package record

Simulate Rehabilitation Strategies for Water Distribution Systems

0packages depend

2.1Kdownloads / year

77.5%test coverage

13/13flavors OK

Overview

About

Maintained by Christian FoersterCRAN page ↗GitHub ↗Issues ↗

The outcome of various rehabilitation strategies for water distribution systems can be modeled with the Water Management Simulator (WaMaSim). Pipe breaks and the corresponding damage and rehabilitation costs are simulated. It is mainly intended to be used as educational tool for the Water Infrastructure Experimental and Computer Laboratory at ETH Zurich, Switzerland.

Install

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

install.packages("WaMaSim", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("scheidan/WaMaSim")

Development version from scheidan/WaMaSim. Installs pak first if it is not already available.

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-wamasim

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-WaMaSim

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-WaMaSim

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: 55 s · 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

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 112 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 20includes a package overview page
Examples that run: 89%8 run in a plain check · 1 never run
Exported functions with examples: 62%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.1K

CRAN downloads in the past year

Rank #23,615 · ~6/day · ~173/mo

Releases R versions

Daily download trend is not available in this view yet.

19930 days

54390 days

2.1K1 year

Compare downloads with other packages →

Also on68 r2u4 autocran

How downloads are counted

Repository

scheidan/wamasim ↗Account: scheidan

2Stars

0Forks

1Open issues

0Open PRs

0Releases

73Commits

4Commit identities

License file reads as GPL-3.0 · 73 commits · Last activity 2020-04-28

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 18
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2025-04-03 · 22026-07-07 · 2

How these are measured

PracticesBeta

Checks run against github.com/scheidan/wamasim 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

2 external dependencies (excludes base and recommended)

Installing WaMaSim adds 1 package (1 with compiled code, 275 KB of source tarballs). Heaviest: magrittr 275 KB.

Depends (1)

magrittr

Imports (0)

none

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Christian Foerster

Maintainer since 1.0.0 (2019)

Rachel Barrett

Author

Andreas Scheidegger

Author

Releases (1)

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
R
R 4.0.0 released · 2020-04-24
1.0.0Latest
record
2019-05-03 · current release
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-05-03
Total releases: 1 / 7 yrs
License: GPL-3 OSI
Download size: 13 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WaMaSim")

Format

Foerster, C., Barrett, R., & Scheidegger, A. (2019). WaMaSim: Simulate Rehabilitation Strategies for Water Distribution Systems (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.WaMaSim

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 WaMaSim version 1.0.0 [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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