Consensus Ranking of Variable Importance with Uncertainty R package rankimp version 1.0.0 Variable importance rankings depend on the method, the random seed and the resample used to compute them. This package treats every source of importance as a judge expressing a ranking over the predictors, and synthesises those rankings into a Kemeny median ranking with ties. Uncertainty about the consensus is quantified through bootstrap rank confidence sets, top-k probabilities and clustering of disagreeing judges. Software Depends: R (>= 3.5) Imports: ConsRank, ggplot2, stats, tibble, utils Suggests: cluster, covr, kernelshap, knitr, randomForest, ranger, rmarkdown, rsample, stabm, testthat (>= 3.1.7) Agostino Gnasso <agostino.gnasso@unina.it> Comprehensive R Archive Network (CRAN) Agostino Gnasso [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-8046-3923>) MIT + file LICENSE (https://CRAN.R-project.org/package=rankimp/LICENSE) 2026-09-17 application/tgz https://CRAN.R-project.org/package=rankimp doi:10.32614/CRAN.package.rankimp en-GB