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safeframe: Generic Data Tagging and Validation Tool

Provides tools to help tag and validate data according to user-specified rules. The 'safeframe' class adds variable level attributes to 'data.frame' columns. Once tagged, these variables can be seamlessly used in downstream analyses, making data pipelines clearer, more robust, and more reliable.

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: checkmate, lifecycle, rlang, tidyselect
Suggests: callr, dplyr, knitr, magrittr, rmarkdown, spelling, testthat, tibble
Published: 2025-06-27
DOI: 10.32614/CRAN.package.safeframe
Author: Chris Hartgerink ORCID iD [cre, aut], Hugo Gruson ORCID iD [rev], data.org [cph]
Maintainer: Chris Hartgerink <chris at data.org>
BugReports: https://github.com/epiverse-trace/safeframe/issues
License: MIT + file LICENSE
URL: https://epiverse-trace.github.io/safeframe/, https://github.com/epiverse-trace/safeframe
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: safeframe results

Documentation:

Reference manual: safeframe.pdf
Vignettes: Compatibility with dplyr (source, R code)
Design Principles for {safeframe} (source, R code)

Downloads:

Package source: safeframe_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: safeframe_1.0.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): safeframe_1.0.0.tgz, r-oldrel (x86_64): safeframe_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=safeframe to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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