survalis: Interpretable Survival Machine Learning Framework

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 other related methods for survival modeling, prediction, and interpretation. Clustering of individualized survival curves is described in El Badisy (2026) <doi:10.1093/bioadv/vbag218>.

Version: 2.4.1
Depends: R (≥ 4.4.0)
Imports: survival, ggplot2 (≥ 3.5.0), functionals, nnls, rpart, rsample, aftgee, aorsf, pec, party, ranger, unsurv, randomForestSRC, xgboost, fastgbm (≥ 0.7.0), densemlp, rpsurv, nbsurv, tvrmst, CoxBoost, BART, flexsurv, glmnet, mboost, timereg, partykit, gower, pracma, basetable (≥ 1.4.5), glue, cli, rlang, stats, utils
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, roxygen2, covr, timeROC, patchwork, cluster
Published: 2026-11-14
DOI: 10.32614/CRAN.package.survalis
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad at gmail.com>
BugReports: https://github.com/ielbadisy/survalis/issues
License: MIT + file LICENSE
URL: https://elbadisyimad.com/survalis/, https://github.com/ielbadisy/survalis, https://CRAN.R-project.org/package=survalis
NeedsCompilation: no
Citation: survalis citation info
Materials: README, NEWS
CRAN checks: survalis results

Documentation:

Reference manual: survalis.html , survalis.pdf
Vignettes: Standardised treatment contrasts with estimate() (source, R code)
Moving from survalis 1.x to the seven verbs (source, R code)

Downloads:

Package source: survalis_2.4.1.tar.gz
Windows binaries: r-devel: survalis_1.0.0.zip, r-release: survalis_1.0.0.zip, r-oldrel: survalis_1.0.0.zip
macOS binaries: r-release (arm64): survalis_1.0.0.tgz, r-oldrel (arm64): survalis_1.0.0.tgz, r-release (x86_64): survalis_1.0.0.tgz, r-oldrel (x86_64): survalis_1.0.0.tgz
Old sources: survalis archive

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