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hpsreg: Regression for Hierarchically Ordered Clinical Outcomes via Pairwise Comparisons (Bradley-Terry-Davidson Model)

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'.

Version: 1.0.0
Depends: R (≥ 4.0.0)
Imports: Rcpp (≥ 1.0.0), stats, graphics
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), survival, gnm
Published: 2026-10-20
DOI: 10.32614/CRAN.package.hpsreg
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan at jhu.edu>
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: OpenMP (optional)
Citation: hpsreg citation info
Materials: README, NEWS
CRAN checks: hpsreg results

Documentation:

Reference manual: hpsreg.html , hpsreg.pdf
Vignettes: Getting started with hpsreg (source, R code)

Downloads:

Package source: hpsreg_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: hpsreg_1.0.0.zip, r-oldrel: hpsreg_1.0.0.zip
macOS binaries: r-release (arm64): hpsreg_1.0.0.tgz, r-oldrel (arm64): hpsreg_1.0.0.tgz, r-release (x86_64): hpsreg_1.0.0.tgz, r-oldrel (x86_64): hpsreg_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=hpsreg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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