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scilintr: Scientific Code Lint for R Analyses

Static analysis for R scientific data analysis code. Flags patterns that often correspond to hidden scientific commitments – silent error swallowing, smuggled defaults, label leakage in selection-stage code, magic-eps floors in 'BIC' formulas, and shadow-overwrite of sourced helpers. Designed for agentic coding workflows; high recall over precision; structured 'ANALYSIS_OK' waivers as the audit trail.

Version: 0.1.1
Depends: R (≥ 4.1)
Imports: lintr (≥ 3.0.0), xml2, xmlparsedata, yaml
Suggests: testthat (≥ 3.0.0), roxygen2
Published: 2026-06-12
DOI: 10.32614/CRAN.package.scilintr (may not be active yet)
Author: Arjun Raj [aut, cre]
Maintainer: Arjun Raj <arjunraj at seas.upenn.edu>
BugReports: https://github.com/arjunrajlaboratory/scilintr/issues
License: MIT + file LICENSE
URL: https://github.com/arjunrajlaboratory/scilintr
NeedsCompilation: no
Materials: NEWS
CRAN checks: scilintr results

Documentation:

Reference manual: scilintr.html , scilintr.pdf

Downloads:

Package source: scilintr_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: scilintr_0.1.1.zip, r-oldrel: not available
macOS binaries: r-release (arm64): scilintr_0.1.1.tgz, r-oldrel (arm64): scilintr_0.1.1.tgz, r-release (x86_64): scilintr_0.1.1.tgz, r-oldrel (x86_64): scilintr_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=scilintr 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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