Package: survalis
Type: Package
Title: Interpretable Survival Machine Learning Framework
Version: 0.7.1
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Authors@R: 
    c(person(given = "Imad",
             family = "El Badisy",
             role = c("aut", "cre"),
             email = "elbadisyimad@gmail.com"))
Description: A modular toolkit for interpretable survival machine
        learning with a unified interface for fitting, prediction,
        evaluation, and interpretation. It includes semiparametric,
        parametric, tree-based, ensemble, boosting, kernel, and
        deep-learning survival learners, together with benchmarking,
        scoring, calibration, and model-agnostic interpretation
        utilities. Representative methodological anchors include Cox
        (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x>, Royston and
        Parmar (2002) <doi:10.1002/sim.1203>, Ishwaran et al. (2008)
        <doi:10.1214/08-AOAS169>, Jaeger et al. (2019)
        <doi:10.1214/19-AOAS1261>, Harrell et al. (1982)
        <doi:10.1001/jama.1982.03320430047030>, Graf et al. (1999)
        <doi:10.1002/(SICI)1097-0258(19990915/30)18:17/18%3C2529::AID-SIM274%3E3.0.CO;2-5>,
        Friedman (2001) <doi:10.1214/aos/1013203451>, Apley and Zhu
        (2020) <doi:10.1111/rssb.12377>, and Lundberg and Lee (2017)
        <https://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions>,
        and other related methods for survival modeling, prediction,
        and interpretation.
License: MIT + file LICENSE
URL: https://CRAN.R-project.org/package=survalis
BugReports: https://github.com/ielbadisy/survalis/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: survival, ggplot2, functionals, nnls, rpart, tibble, rsample,
        aftgee, aorsf, bnnSurvival, pec, party, ranger, survdnn,
        survivalsvm, randomForestSRC, xgboost, BART, flexsurv, glmnet,
        mboost, rstpm2, timereg, partykit, gower, pracma, torch,
        data.table, dplyr, glue, cli, purrr, rlang, tidyr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, roxygen2, covr, stats,
        utils
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Config/testthat/edition: 3
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libx11-dev
Repository: https://ielbadisy.r-universe.dev
Date/Publication: 2026-07-20 19:43:23 UTC
RemoteUrl: https://github.com/ielbadisy/survalis
RemoteRef: HEAD
RemoteSha: 44df45d1aef4cb13c5078d8d7904d4012f011eb3
NeedsCompilation: no
Packaged: 2026-07-20 21:06:09 UTC; root