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 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.

Version:	0.7.1
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
Published:	2026-04-23
DOI:	10.32614/CRAN.package.survalis (may not be active yet)
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://github.com/ielbadisy/survalis
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	survalis results

Documentation:

Reference manual:

survalis.html , survalis.pdf

Downloads:

Package source:	survalis_0.7.1.tar.gz
Windows binaries:	r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): survalis_0.7.1.tgz, r-oldrel (x86_64): survalis_0.7.1.tgz

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