Package: PSsurvival Title: Propensity Score Methods for Survival Analysis Version: 0.2.0 Date: 2026-01-09 Authors@R: c( person("Chengxin", "Yang", email = "chengxin.yang@duke.edu", role = c("aut", "cre")), person("Chao", "Cheng", email = "chaoc@wustl.edu", role = "aut"), person("Fan", "Li", email="fl35@duke.edu", role = "aut"), person("Fan", "Li", email = "fan.f.li@yale.edu", role = "aut")) Description: 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) , Li & Li (2019) , and Cheng et al. (2022) . License: GPL (>= 2) URL: https://github.com/cxinyang/PSsurvival BugReports: https://github.com/cxinyang/PSsurvival/issues Depends: R (>= 3.5.0) Imports: survival, stats, utils, ggplot2, cowplot Suggests: nnet, parallel, testthat (>= 3.0.0), knitr, rmarkdown Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.3 Config/testthat/edition: 3 VignetteBuilder: knitr Repository: https://cxinyang.r-universe.dev Date/Publication: 2026-01-10 03:58:53 UTC RemoteUrl: https://github.com/cxinyang/pssurvival RemoteRef: HEAD RemoteSha: ea90919e6113048ab21b8aa01ef28a6b5216d068 NeedsCompilation: no Packaged: 2026-06-19 08:27:45 UTC; root Author: Chengxin Yang [aut, cre], Chao Cheng [aut], Fan Li [aut], Fan Li [aut] Maintainer: Chengxin Yang