Package: hpsreg
Type: Package
Title: Regression for Hierarchically Ordered Clinical Outcomes via
        Pairwise Comparisons (Bradley-Terry-Davidson Model)
Version: 1.0.0
Authors@R: person("Ravi", "Varadhan", role = c("aut", "cre"), email = "ravi.varadhan@jhu.edu")
Description: Provides regression for hierarchically ordered clinical
        outcomes via pairwise comparisons, using a covariate-adjusted
        Davidson (Bradley-Terry with ties) model with U-statistic
        sandwich standard errors. A hierarchy of outcomes (binary,
        ordinal, continuous, and time-to-event, with eligibility guards
        and tie margins) is defined; all pairs of subjects are scored
        lexicographically; and the resulting win / loss / tie data are
        analysed. Unadjusted win statistics (net benefit, win ratio,
        win odds), diagnostics, and a worked example based on outcomes
        after allogeneic stem cell transplant are also provided. The
        computational engine is written in 'C++' using 'Rcpp' and
        'RcppEigen'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), stats, graphics
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), survival, gnm
VignetteBuilder: knitr
SystemRequirements: OpenMP (optional)
Config/testthat/edition: 3
RoxygenNote: 7.3.3
NeedsCompilation: yes
Packaged: 2026-10-20 22:34:58 UTC; root
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-20 17:50:14 UTC
RemoteUrl: https://github.com/cran/hpsreg
RemoteRef: HEAD
RemoteSha: 5d1a6e325d2ba1b25c1a3f96299fd002ff60dc3d