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
Repository: https://ielbadisy.r-universe.dev
Date/Publication: 2026-08-31 14:41:40 UTC
RemoteUrl: https://github.com/ielbadisy/nbsurv
RemoteRef: HEAD
RemoteSha: 5dc8f04338d75edebf494f7bf4382726716e6c94
NeedsCompilation: no
Packaged: 2026-10-08 11:23:06 UTC; root
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>