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 (may not be active yet)
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: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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