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: not available, 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.