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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 HartgerinkORCID iD [cre, aut], Hugo GrusonORCID iD [rev], data.org [cph]
Maintainer:Chris Hartgerink <chris at data.org>
BugReports:https://github.com/epiverse-trace/safeframe/issues
License:MIT + fileLICENSE
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.html ,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:safeframe_1.0.0.zip, r-release:safeframe_1.0.0.zip, r-oldrel:safeframe_1.0.0.zip
macOS binaries: r-release (arm64):safeframe_1.0.0.tgz, r-oldrel (arm64):safeframe_1.0.0.tgz, r-release (x86_64):safeframe_1.0.0.tgz, r-oldrel (x86_64):safeframe_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=safeframeto link to this page.


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