Package: nbsurv
Type: Package
Title: Conditional Naive Bayes Survival Modelling for Right-Censored
        Data
Version: 0.5.1
Authors@R: person("Imad", "El Badisy", email = "elbadisyimad@gmail.com", role = c("aut", "cre"))
Description: 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>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, survival, stats, utils
Suggests: knitr, pkgload, pec, quarto, ranger, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/ielbadisy/nbsurv
BugReports: https://github.com/ielbadisy/nbsurv/issues
Config/testthat/edition: 3
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2026-08-31 17:09:00 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-11 12:50:02 UTC
