Covariance Measure Tests for Conditional Independence R package comets version 0.2-2 Covariance measure tests for conditional independence testing against conditional covariance and nonlinear conditional mean alternatives. The package implements versions of the generalised covariance measure test (Shah and Peters, 2020, <doi:10.1214/19-aos1857>) and projected covariance measure test (Lundborg et al., 2023, <doi:10.1214/24-AOS2447>). The tram-GCM test, for censored responses, is implemented including the Cox model and survival forests (Kook et al., 2024, <doi:10.1080/01621459.2024.2395588>). Application examples to variable significance testing and modality selection can be found in Kook and Lundborg (2024, <doi:10.1093/bib/bbae475>). Software Depends: R (>= 4.2.0) Imports: ranger, glmnet, Formula, survival, coin, Rcpp LinkingTo: Rcpp Suggests: testthat (>= 3.0.0), ggplot2, tidyr, dplyr, xgboost, lightgbm Lucas Kook <lucasheinrich.kook@gmail.com> Comprehensive R Archive Network (CRAN) Lucas Kook [aut, cre] (ORCID: <https://orcid.org/0000-0002-7546-7356>), Anton Rask Lundborg [ctb] GPL-3 2025-11-05 application/tgz https://CRAN.R-project.org/package=comets doi:10.32614/CRAN.package.comets