Package: PSsurvival
Title: Propensity Score Methods for Survival Analysis
Version: 0.1.0
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 and marginal hazard ratios in
    observational studies with time-to-event outcomes. Supports binary and
    multiple treatment groups with average treatment effect on the combined
    full population (ATE), average treatment effect on the treated or target 
    group (ATT), and overlap weighting estimands. Includes symmetric (Crump) 
    and asymmetric (Sturmer) trimming options for extreme propensity scores. 
    Variance estimation via analytical M-estimation or bootstrap. 
    Methods based on Cheng et al. (2022) <doi:10.1093/aje/kwac043> and Li & 
    Li (2019) <doi:10.1214/19-AOAS1282>.
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
Suggests: nnet, ggplot2, parallel, testthat (>= 3.0.0), knitr,
        rmarkdown
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-02 10:59:23 UTC; chengxinyang
Author: Chengxin Yang [aut, cre],
  Chao Cheng [aut],
  Fan Li [aut],
  Fan Li [aut]
Maintainer: Chengxin Yang <chengxin.yang@duke.edu>
Repository: CRAN
Date/Publication: 2025-12-09 07:40:18 UTC
Built: R 4.4.3; ; 2025-12-17 03:18:18 UTC; windows
