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Interpretable Survival Machine Learning Framework

install.packages("survalis")
CRAN checks, method
OKnotes on 5 of 13
CRAN 30-day downloads, method
227−30.4% down on the 30 days before, the worse direction
Test coverage, method
77%of lines run by tests

A modular toolkit for interpretable survival machine learning with a unified interface for fitting, prediction, evaluation, and interpretation.

Full 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.

Maintainer
Imad El Badisy
Latest release
22 Aug 2026
First release
23 Apr 2026

Compare with another package

More details
Releases
2
Needs compilation
No
Needs R
>= 4.1
Config/testthat/edition
3
LazyData
true
RoxygenNote
7.3.3
Subjects (1) Method, Subjects
Cite

Package

Run in R for the authors' preferred citation:

citation("survalis")
APA
El Badisy, I. (2026). survalis: Interpretable Survival Machine Learning Framework (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.survalis
About

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA
Balamuta, J. J. (2026). R Observatory: Metrics for survalis version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-28. https://doi.org/10.5281/zenodo.21843040
About

From data release v2026-10-28, which the citation names so these numbers can be found later.

No warnings or errors. 5 of 13 check platforms have notes.

  • r-devel-linux-x86_64-debian-clang

    The unreleased R on Linux, x86_64, debian-clang

    Note

    Version checked
    1.0.0
    Time taken
    255 s

    dependencies in R code: Note

    Base packages in Suggests/Enhances imported in NAMESPACE:

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  • r-devel-linux-x86_64-debian-gcc

    The unreleased R on Linux, x86_64, debian-gcc

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    1.0.0
    Time taken
    179 s

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  • r-devel-linux-x86_64-fedora-clang

    The unreleased R on Linux, x86_64, fedora-clang

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    Version checked
    1.0.0
    Time taken
    164 s

    dependencies in R code: Note

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  • r-devel-linux-x86_64-fedora-gcc

    The unreleased R on Linux, x86_64, fedora-gcc

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    Version checked
    1.0.0
    Time taken
    162 s

    dependencies in R code: Note

    Base packages in Suggests/Enhances imported in NAMESPACE:

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  • r-devel-windows-x86_64

    The unreleased R on Windows, x86_64

    Note

    Version checked
    1.0.0
    Time taken
    468 s

    dependencies in R code: Note

    Base packages in Suggests/Enhances imported in NAMESPACE:

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  • r-oldrel-macos-arm64

    The previous release of R on macOS, arm64

    OK

    Version checked
    1.0.0
    Time taken
    64 s
  • r-oldrel-macos-x86_64

    The previous release of R on macOS, x86_64

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    Version checked
    1.0.0
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  • r-oldrel-windows-x86_64

    The previous release of R on Windows, x86_64

    OK

    Version checked
    1.0.0
    Time taken
    389 s
  • r-patched-linux-x86_64

    The patched release of R on Linux, x86_64

    OK

    Version checked
    1.0.0
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    246 s
  • r-release-linux-x86_64

    The current release of R on Linux, x86_64

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    Version checked
    1.0.0
    Time taken
    245 s
  • r-release-macos-arm64

    The current release of R on macOS, arm64

    OK

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    1.0.0
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  • r-release-macos-x86_64

    The current release of R on macOS, x86_64

    OK

    Version checked
    1.0.0
    Time taken
    235 s
  • r-release-windows-x86_64

    The current release of R on Windows, x86_64

    OK

    Version checked
    1.0.0
    Time taken
    305 s
  • 5 Note
  • 8 OK
Check output (1)

dependencies in R code, Note on 5 platforms

Base packages in Suggests/Enhances imported in NAMESPACE:
  ‘stats’ ‘utils’
Base packages in Suggests/Enhances imported in NAMESPACE:
  'stats' 'utils'

Over time

No change since 25 Oct 2026

As a list (10)
ChangedWorst statusOKNotesWarningsErrors
25 Oct 2026Note8500
24 Oct 2026Error8401
12 Sep 2026Note11200
24 Aug 2026OK13000
23 Aug 2026Error12001
4 Aug 2026OK13000
1 Aug 2026Note12100
9 Jun 2026OK13000
8 Jun 2026Error12001
24 Apr 2026OK4000

Since March 2026

Check results on CRAN

Total downloads in the last 30 days
232−32% down on the 30 days before, the worse directionIt is the sum of 2 channels: CRAN and r2u.

CRAN rank

20,036 of 26,530

CRAN

227 downloads in the last 30 days

Rank
20,036 of 26,530
Change
−30.4% down on the 30 days before, the worse direction

It is in the total. Take it out

r2u

5 downloads in the last 30 days

Rank
9,299 of 30,526
Change
−66.7% down on the 30 days before, the worse direction

It is in the total. Take it out

Over time

Compare downloads

Functions
132
Public exports
108
Lines of R code
9,665
Median complexity
3
Functions (132)
Size and composition

Lines by kind (18,841)

KindLinesShare
R code9,66551%
Tests2,81815%
Documentation6,35834%

Lines by language

LanguageLinesShare
R12,48366%
Rd6,35834%

Languages are counted from file extensions.

Files
210
R functions
132
Object systems
S3: 1 methods
Complexity
Median
3
Mean
4.83
Highest
24
Median lines per function
27.5
About complexity

Cyclomatic complexity counts the independent paths through a function: 1 is a straight line, higher is harder to test. R functions only.

Call graph figures
R functions
132
Calls
187
Unconnected
21
Groups
3
Growth (2 releases)
Total lines by release
17,541 on 23 Apr 202618,841 on 22 Aug 2026
Release changes

The tests ran and coverage was measured.

Lines run by tests
76.5%
Expressions run by tests
74.1%
Test cases
93
Exports named in tests
82.4%
Coverage by file (39)
Coverage run
Lines counted
3,377
Lines the tests ran
2,584
Tests passed
Yes
Measured with
covr 3.6.5 on R 4.6.1
Test suite
Has tests
Yes
Test frameworks
testthat
Test cases
93
Lines of tests
2,818
Test lines per line of code
0.29
Exports documented
100%
Arguments documented
95%
Return value documented
99.1%
Help pages with examples
94.8%
Examples run in checks
74.3%
Other documentation
README
Yes, 245 words
Release notes file
Yes
Help pages
115
Lines of documentation
6,358
DatasetSizeColumns
veteranVeteran's Administration Lung Cancer Trial Dataalso in 5 other packages137 × 8trt, celltype, time, status, karno, diagtime and 2 more

ielbadisy / survalis on github.com

Stars
1no change on 30 days ago
Forks
0
Open issues
0
Last commit
19 Oct 2026
Activity
Commits
689
Open pull requests
1
Tagged releases
3
Latest tagged release
v0.9.0, 17 Aug 2026
In development
Default branch at 1.7.0, ahead of CRAN 1.0.0 (checked 2026-10-25)
Issues closed in
2 days (median)
Pull requests closed in
0 days (median)
Pull requests merged
100%
Created
13 May 2025
Licence file reads as
–
Development practices (5)
KindFound
Continuous integrationGitHub Actions, R CMD check workflow
The R CMD check workflow runs on Linux, macOS and Windows
Docs sourceREADME.Rmd
CRAN release processcran-comments.md
Lint, format, editorRStudio project

Method, repository practices

Across ielbadisy

CodexCodexFirst seen 16 Apr 2026
Claude CodeClaude CodeFirst seen 7 Aug 2026

Tools

ToolFirst seenFound
Codex16 Apr 2026Named in .Rbuildignore.codex
Claude Code7 Aug 2026Named in .Rbuildignore.claudePull request it wrote: opened by a project member
  • Named in .Rbuildignore
  • Pull request

Across ielbadisy

R releases
  • On CRAN
  • Facing archival
  • Release
0.7.11.0.0Archived and backArchived and back

Archived and back

ArchivedBackCRAN's reasonKind
22 Aug 202622 Aug 2026issues were not corrected in timeChecks not fixed
VersionReleasedREvents
1.0.0 current22 Aug 20264.6.1Archived 22 Aug 2026
“issues were not corrected in time”
Back on CRAN 22 Aug 2026
0.7.123 Apr 20264.5.3Fix due 21 Aug 2026
The checks were fixed and the deadline was lifted.
Release notes (1.0.0)
  • Added CoxBoost as a new survival learner: fit_coxboost(), predict_coxboost(), and tune_coxboost(), wrapping the CoxBoost package's likelihood-based componentwise boosting for the Cox partial likelihood. Registered in list_survlearners() and usable directly through benchmark().
  • Wrapped tune_glmnet()'s example in \donttest{} (per CRAN win-builder pretest feedback: it exceeded the 5s/10s example runtime limit on Debian/Windows).