Propensity Score Methods for Survival Analysis R package PSsurvival version 0.2.0 Implements propensity score weighting methods for estimating counterfactual survival functions, marginal hazard ratios, and weighted Kaplan-Meier and cumulative risk curves in observational studies with time-to-event outcomes. Supports binary and multiple treatment groups with inverse probability of treatment weighting (IPW), overlap weighting (OW), and average treatment effect on the treated (ATT). Includes symmetric trimming (Crump extension) for extreme propensity scores. Variance estimation via analytical M-estimation or bootstrap. Methods based on Li et al. (2018) <doi:10.1080/01621459.2016.1260466>, Li & Li (2019) <doi:10.1214/19-AOAS1282>, and Cheng et al. (2022) <doi:10.1093/aje/kwac043>. Software Depends: R (>= 3.5.0) Imports: survival, stats, utils, ggplot2, cowplot Suggests: nnet, parallel, testthat (>= 3.0.0), knitr, rmarkdown Chengxin Yang <chengxin.yang@duke.edu> Comprehensive R Archive Network (CRAN) Chengxin Yang [aut, cre], Chao Cheng [aut], Fan Li [aut], Fan Li [aut] GPL (>= 2) 2026-01-10 application/tgz https://CRAN.R-project.org/package=PSsurvival doi:10.32614/CRAN.package.PSsurvival