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clustcurv

3.0.1Package record

Determining Groups in Multiples Curves

0packages depend
3.6Kdownloads / year
55.5%test coverage
13/13flavors OK

Overview

About

A method for determining groups in multiple curves with an automatic selection of their number based on k-means or k-medians algorithms. The selection of the optimal number is provided by bootstrap methods or other approaches with lower computational cost. The methodology can be applied both in regression and survival framework. Implemented methods are: Grouping multiple survival curves described by Villanueva et al. (2018) doi:10.1002/sim.8016.

Install

Health

CRAN checks
13OK
Slowest check: 4.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 3.0.1
READMENoVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites an R Journal article
Help pages
10 (1 internal)includes a package overview page
Examples that run
100%8 run in a plain check
Exported functions with examples
80%
Documented parameters
100%
Return-value docs
80%
Help pages citing references
20%

Downloads

3.6K
CRAN downloads in the past year
Rank #13,410 · ~10/day · ~302/mo
Daily download trend is not available in this view yet.
35930 days
86690 days
3.6K1 year
Compare downloads with other packages →
Also on123 r2u13 autocran1.2K conda_forge

Repository

4Stars
1Forks
0Open issues
0Open PRs
2Releases
227Commits
7Commit identities
survival-analysisnumber-of-clustersclusteringregressionmachinelearningmultiple-curvesdata-analyticsnonparametric-statistics
227 commits · Last activity 2026-03-25 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
75%
Median days to close, 50 most recently updated closed issues
812
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-06-11 · 32026-07-07 · 4
PracticesBeta

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

Checks run against github.com/noramvillanueva/clustcurv on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Coverage (1)
Coverage reporting (Codecov)
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing clustcurv adds 117 packages (60 with compiled code, 97 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.0 (2019)
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 3.0.1Latest
    record
    2025-12-06 · current release · diff ↗
  • 3.0.0
    record
    2025-11-14 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • unarchivedReturned to CRAN
    2024-10-25
  • 2.0.2
    record
    2024-10-25 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • archivedRemoved from CRAN
    2022-12-19
    issues were not corrected in time
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 2.0.1
    record
    2021-01-10 · diff ↗ ·
    removed 2 exports
    autoclustcurv, kclustcurv
    added 4 exports
    kregcurves, ksurvcurves, regclustcurves, survclustcurves
  • R
    R 4.0.0 released · 2020-04-24
  • 2.0.0
    record
    2020-03-21 · diff ↗ ·
    removed 2 exports
    clustcurv_surv, kgroups_surv
    added 2 exports
    autoclustcurv, kclustcurv
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.0
    record
    2019-03-25
Show 1 earlier eventHide 1 earlier event
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2019-03-25
Total releases
6 / 7 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
17 KB / 1 file
Download size
1.2 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("clustcurv")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.32614/rj-2021-032.

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 clustcurv version 3.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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