Package: PSpower
Type: Package
Title: Sample Size and Power for Propensity Score Weighted Estimators
Version: 2.0.0
Authors@R: c(
    person("Bo", "Liu", email = "bo.liu1997@gmail.com",
           role = c("aut", "cre")),
    person("Chengxin", "Yang", email = "chengxin.yang@duke.edu",
           role = "aut"),
    person("Fan", "Li", role = "aut"))
Description: Computes sample size and power for causal inference studies that
    use propensity score (PS) weighting. Supports continuous, binary, and
    time-to-event (survival) outcomes under four estimands: average treatment
    effect (ATE), average treatment effect on the treated (ATT), average
    treatment effect on the controls (ATC), and average treatment effect on
    the overlap population (ATO). For continuous and binary outcomes, the
    asymptotic variance of the Hajek inverse probability weighting estimator
    is derived under a logit-normal propensity score model, approximated by a
    Beta distribution matched through the Bhattacharyya overlap coefficient.
    For survival outcomes, the asymptotic variance of the propensity-score-
    weighted partial likelihood estimator is used for randomized trials and
    observational studies. The Schoenfeld formula is also available for
    randomized trial settings.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
RoxygenNote: 7.3.3
Imports: stats
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-05-14 06:40:00 UTC; chengxin
Author: Bo Liu [aut, cre],
  Chengxin Yang [aut],
  Fan Li [aut]
Maintainer: Bo Liu <bo.liu1997@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-14 08:40:08 UTC
Built: R 4.6.0; ; 2026-05-14 09:55:04 UTC; unix
