Sample Provenance Quality Resolver in Proteomics R package spqrp version 0.1.0 Detect sample-provenance inconsistencies and potential mix-ups in mass-spectrometry-based plasma-proteome cohorts. Provides a clustering-based approach (build a nearest-neighbour graph in a dimensionality-reduced space and iteratively split large components by edge weight), a threshold-based approach (classify sample pairs as belonging or not-belonging from a pairwise distance cutoff), parameter optimization over distance metrics and cutoffs, and a pairwise random-forest classifier for protein importance ranking. This is a native R port of the author's Python package 'spqrp' (<https://github.com/fhradilak/spqrp>), implementing methods from an associated manuscript currently in preparation. Software Depends: R (>= 4.5.0) Imports: cli, dplyr (>= 1.1.0), ggplot2 (>= 3.5.0), igraph (>= 2.0.0), lgr, pROC, randomForest, ranger (>= 0.16.0), rlang, solitude (>= 1.1.3), stats, tibble, tidyr (>= 1.3.0), utils, withr Suggests: knitr, plotly (>= 4.10.0), recipes, rmarkdown, smacof, testthat (>= 3.0.0), themis, uwot (>= 0.2.0), vdiffr Franziska Hradilak <Franziska.Hradilak@student.hpi.uni-potsdam.de> Comprehensive R Archive Network (CRAN) Franziska Hradilak [aut, cre] GPL-3 2026-06-17 application/tgz https://CRAN.R-project.org/package=spqrp doi:10.32614/CRAN.package.spqrp