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: 2026-10-08 18:24:04 UTC; raviv
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Repository: CRAN
Date/Publication: 2026-10-20 17:50:14 UTC
