Package: harf Title: Adversarial Random Forests for Omics Synthesis Version: 0.1.0 Authors@R: c(person(given = c("Cesaire", "J.", "K."), family = "Fouodo", role = c("aut", "cre"), email = "fouodo@leibniz-bips.de"), person( given = c("Jan"), family = "Kapar", role = "aut" ), person( given = c("Marvin", "N."), family = "Wright", role = "aut" ) ) Description: We extend Adversarial Random Forests to a high-dimensional framework. The method partitions the feature space into regions where the assumption of feature independence within tree leaves is more likely to hold. Region-specific adversarial random forest models are trained to capture local dependence structures, while an additional adversarial random forest is fitted to a meta-space representation to model dependencies between regions. New observations are generated by first sampling from the meta-space model and then conditionally sampling from each region-specific model. The proposed methodology is described in Fouodo et al. (2026) . License: GPL-3 Encoding: UTF-8 RoxygenNote: 7.3.3 Imports: arf, data.table, stats, ClusterR, matrixStats, pracma, pls, fastPLS, RGCCA, ranger, rsvd, foreach Suggests: testthat (>= 3.0.0), knitr, rmarkdown, checkmate, Rtsne, SingleCellExperiment, corrplot, scater, cowplot, ggplot2, doParallel, pROC, caret Config/testthat/edition: 3 Depends: R (>= 3.6.0) Collate: 'single_cell.R' 'kich.R' 'utils.R' 'h_arf.R' 'h_forge.R' VignetteBuilder: knitr, rmarkdown BugReports: https://github.com/bips-hb/harf/issues LazyData: true URL: https://bips-hb.github.io/harf/ NeedsCompilation: no Packaged: 2026-09-28 16:09:15 UTC; root Author: Cesaire J. K. Fouodo [aut, cre], Jan Kapar [aut], Marvin N. Wright [aut] Maintainer: Cesaire J. K. Fouodo Repository: https://cran.r-universe.dev Date/Publication: 2026-09-28 09:00:18 UTC RemoteUrl: https://github.com/cran/harf RemoteRef: HEAD RemoteSha: cb9edaed56a0e616b3b8cc291bd0bbb152c92411