madshapR
2.0.0Functions to Support Data Management and Processing Using the Maelstrom Research Approach
Overview
Functions to support data cleaning, evaluation, and description, developed for integration with Maelstrom Research software tools. 'madshapR' provides functions primarily to evaluate and manipulate datasets and data dictionaries in preparation for data harmonization with the package 'Rmonize' and to facilitate integration and transfer between RStudio servers and secure Opal environments. 'madshapR' functions can be used independently but are optimized in conjunction with ‘Rmonize’ functions for streamlined and coherent harmonization processing.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 91%
- Documented parameters
- 99%
- Return-value docs
- 96%
- References docs
- 0%
Downloads
Repository
Stars over time
Releases over time
Issues over time
PRs over time
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/maelstrom-research/madshapr on 2026-08-03.
Dependencies
Code & Tests
Datasets
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-06-20
- Total releases
- 5 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 4.5 KB / 3 files
- Download size
- 117 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("madshapR")CRAN DOI
https://doi.org/10.32614/CRAN.package.madshapRBibTeX, derived from DESCRIPTION
@Manual{madshapR,
title = {madshapR: Functions to Support Data Management and Processing Using the
Maelstrom Research Approach},
author = {Fabre, Guillaume and Maelstrom Research},
year = {2025},
note = {R package version 2.0.0},
doi = {10.32614/CRAN.package.madshapR},
url = {https://CRAN.R-project.org/package=madshapR}
}Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatorymadshapR,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {madshapR} version 2.0.0},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/packages/madshapR},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for madshapR version 2.0.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/madshapRRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for madshapR version 2.0.0
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/packages/madshapR
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/madshapR.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.