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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>].
| Version: | 0.1.0 |
| Imports: | survival, ggplot2, scales |
| Suggests: | knitr, rmarkdown, mvtnorm, testthat (≥ 3.0.0) |
| Published: | 2026-09-12 |
| DOI: | 10.32614/CRAN.package.chestR (may not be active yet) |
| Author: | Richard Jackson [aut, cre], Caroline Jeffery [aut] |
| Maintainer: | Richard Jackson <richj23 at liverpool.ac.uk> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Language: | en-GB |
| Materials: | README, NEWS |
| CRAN checks: | chestR results |
| Reference manual: | chestR.html , chestR.pdf |
| Vignettes: |
chestR workflow: global Cox to local biomarker maps (source, R code) |
| Package source: | chestR_0.1.0.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): chestR_0.1.0.tgz, r-release (x86_64): chestR_0.1.0.tgz, r-oldrel (x86_64): chestR_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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