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
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
NeedsCompilation: no
Packaged: 2026-09-03 15:15:40 UTC; richardjackson
Author: Richard Jackson [aut, cre],
  Caroline Jeffery [aut]
Maintainer: Richard Jackson <richj23@liverpool.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-12 15:10:02 UTC
