Fits conditional naive Bayes survival models for right-censored outcomes using inverse-probability of censoring weighting. The package provides model fitting, prediction, resampling-based evaluation, cross-validation, hyper-parameter tuning, and permutation variable importance utilities for horizon-specific survival prediction. The model is the censored naive Bayes classifier of Wolfson et al. (2015) <doi:10.1002/sim.6526>, which combines the marginal Kaplan-Meier survivor function with horizon-specific class-conditional covariate densities and inverse-probability-of-censoring weights. Resampling evaluation uses the inverse-probability-of-censoring-weighted Brier score of Gerds and Schumacher (2006) <doi:10.1002/bimj.200610301>.
| Version: | 0.5.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | graphics, survival, stats, utils |
| Suggests: | knitr, pkgload, pec, quarto, ranger, rmarkdown, testthat |
| Published: | 2026-09-11 |
| DOI: | 10.32614/CRAN.package.nbsurv (may not be active yet) |
| Author: | Imad El Badisy [aut, cre] |
| Maintainer: | Imad El Badisy <elbadisyimad at gmail.com> |
| BugReports: | https://github.com/ielbadisy/nbsurv/issues |
| License: | GPL-3 |
| URL: | https://github.com/ielbadisy/nbsurv |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | nbsurv results |
| Reference manual: | nbsurv.html , nbsurv.pdf |
| Vignettes: |
nbsurv Workflow (source, R code) |
| Package source: | nbsurv_0.5.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: nbsurv_0.5.1.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): nbsurv_0.5.1.tgz, r-release (x86_64): nbsurv_0.5.1.tgz, r-oldrel (x86_64): nbsurv_0.5.1.tgz |
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