ROC-Based Methods for Comparing Survival Distributions with Right, Left, and Doubly Censored Data R package ROCsurvcomp version 0.1.2 Implements nonparametric and semiparametric methods for comparing two survival distributions under non-proportional hazards (non-PH). The methods are based on the Receiver Operating Characteristic (ROC) curve length (Bantis et al. (2021) <doi:10.1002/sim.8869>) and the overlap coefficient (OVL) (Franco-Pereira et al. (2021) <doi:10.1177/09622802211046386>), as well as a joint ROC length-OVL-based approach. These methods do not require prior knowledge of the underlying non-PH pattern and can accommodate right, left, and doubly censored data. Software Depends: R (>= 3.5) Imports: survival, interval, stats, utils, ggplot2 Suggests: knitr, rmarkdown, PWEXP, testthat (>= 3.0.0) Mohammod Mahmudur Rahman <mahmudur.asif13@gmail.com> Comprehensive R Archive Network (CRAN) Mohammod Mahmudur Rahman [aut, cre], Leonidas Bantis [aut] GPL-3 2026-05-11 application/tgz https://CRAN.R-project.org/package=ROCsurvcomp doi:10.32614/CRAN.package.ROCsurvcomp