Package: chestR 0.1.0
chestR: Kernel-Weighted Cox Regression for Treatment Effect Heterogeneity
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>].
Authors:
chestR_0.1.0.tar.gz
chestR_0.1.0.zip(r-4.7-any)chestR_0.1.0.zip(r-4.6-any)chestR_0.1.0.zip(r-4.5-any)
chestR_0.1.0.tgz(r-4.6-any)chestR_0.1.0.tgz(r-4.5-any)
chestR_0.1.0.tar.gz(r-4.7-any)chestR_0.1.0.tar.gz(r-4.6-any)
chestR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
chestR/json (API)
| # Install 'chestR' in R: |
| install.packages('chestR', repos = c('https://richjjackson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/richjjackson/chestr/issues
Last updated from:261287d1db. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 136 | ||
| source / vignettes | OK | 240 | ||
| linux-release | OK | 149 | ||
| macos-release | OK | 208 | ||
| macos-oldrel | OK | 175 | ||
| windows-devel | OK | 110 | ||
| windows-release | OK | 109 | ||
| windows-oldrel | OK | 98 | ||
| wasm-release | OK | 107 |
Exports:chestrchestr_test
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecycleMatrixR6RColorBrewerrlangS7scalessurvivalvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Kernel-weighted Cox estimates over a biomarker grid | chestr |
| Permutation test for treatment-effect heterogeneity | chestr_test |
| Plot local treatment effects from a 'chestr' object | plot.chestr |