Package: chestR
Title: Kernel-Weighted Cox Regression for Treatment Effect
        Heterogeneity
Version: 0.1.0
Authors@R: c(
    person("Richard", "Jackson", email = "richj23@liverpool.ac.uk",
           role = c("aut", "cre")),
    person("Caroline", "Jeffery", role = "aut")
    )
Description: Explores treatment effect heterogeneity and candidate
        predictive biomarkers by re-fitting weighted Cox proportional
        hazards models on a biomarker grid. Kernel weights centred at
        each grid point produce local coefficient estimates that can be
        visualised across biomarker space. Builds on ideas related to
        graphical Cox treatment-covariate interaction methods [see
        Bonetti and Gelber (2004) <doi:10.1093/biostatistics/kxh002>
        and local partial-likelihood approaches Fan, Lin and Zhou
        (2006) <doi:10.1214/009053605000000796>].
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Imports: survival, ggplot2, scales
Suggests: knitr, rmarkdown, mvtnorm, testthat (>= 3.0.0)
Config/testthat/edition: 3
Language: en-GB
Repository: https://richjjackson.r-universe.dev
Date/Publication: 2026-10-12 15:50:47 UTC
RemoteUrl: https://github.com/richjjackson/chestr
RemoteRef: HEAD
RemoteSha: 261287d1db17f6868c86b095d8f83f1780bd5261
NeedsCompilation: no
Packaged: 2026-10-12 16:28:09 UTC; root
Author: Richard Jackson [aut, cre],
  Caroline Jeffery [aut]
Maintainer: Richard Jackson <richj23@liverpool.ac.uk>