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cureAssess

0.1.0Package record

Assessing Cure Model Appropriateness for Survival Data

0packages depend
516downloads / year
48.5%test coverage
13/13flavors OK

Overview

About

Assesses whether cure models are appropriate for right-censored survival data, where a fraction of subjects may never experience the event of interest. Implements a two-stage workflow combining Kaplan-Meier visualization and comparison of parametric cure and non-cure models by the Akaike information criterion with formal diagnostics for sufficient follow-up and for the presence of a cured fraction. The diagnostics include the statistics of Maller and Zhou (1992) doi:10.1093/biomet/79.4.731 and Maller and Zhou (1994) doi:10.1080/01621459.1994.10476889, the test of Shen (2000) doi:10.1016/S0167-7152(00)00063-8, and the ratio estimation of censored uncured subjects ('RECeUS') method of Selukar and Othus (2023) doi:10.1002/sim.9610.

Changes in 0.1.0
  • Initial CRAN submission.
  • Added functions for survival data preparation.
  • Added cure and non-cure model fitting with AIC screening.
  • Added diagnostic tests for cure models.
  • Added RECeUS-based cure model assessment.
  • Implemented S3 methods for print, summary, and plot.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OKNow
  • OK5 OK2026-09-15
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 432 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
23 (5 internal)includes a package overview page
Examples that run
100%12 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
26%

Downloads

516
CRAN downloads in the past year
Rank #24,043 · ~1/day · ~43/mo
Daily download trend is not available in this view yet.
40330 days
51690 days
5161 year
Compare downloads with other packages →
Also on8 r2u28 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-09-02
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
not measured
PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/geethanjaleem/cureassess on 2026-10-18.

Docs source (1)
README.Rmd
CRAN release process (1)
cran-comments.md
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing cureAssess adds 96 packages (54 with compiled code, 84 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.0 (2026), Copyright holder
Releases (1)
  • 0.1.0Latest
    first seen 2026-09-14 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First seen
2026-09-14
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
91 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cureAssess")
Mudunkotuwa, G., & Ghosh, D. (2026). cureAssess: Assessing Cure Model Appropriateness for Survival Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.cureAssess

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

Cite the 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 cureAssess version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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