Package: spqrp Title: Sample Provenance Quality Resolver in Proteomics Version: 0.1.0 Authors@R: c( person("Franziska", "Hradilak", email = "Franziska.Hradilak@student.hpi.uni-potsdam.de", role = c("aut", "cre"))) Description: 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' (), implementing methods from an associated manuscript currently in preparation. License: GPL-3 URL: https://github.com/fhradilak/spqrp_r BugReports: https://github.com/fhradilak/spqrp_r/issues Encoding: UTF-8 LazyData: true 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 Config/testthat/edition: 3 VignetteBuilder: knitr Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: libglpk-dev libicu-dev libxml2-dev Repository: https://fhradilak.r-universe.dev Date/Publication: 2026-06-22 09:27:55 UTC RemoteUrl: https://github.com/fhradilak/spqrp_r RemoteRef: HEAD RemoteSha: 724422e65321410329db3cf3f7620562ae683cd8 NeedsCompilation: no Packaged: 2026-10-20 08:16:09 UTC; root Author: Franziska Hradilak [aut, cre] Maintainer: Franziska Hradilak