R Observatory: Metrics for cutpoint version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cutpoint

1.0.0Package record

Estimate Cutpoints of Metric Variables in the Context of Cox Regression

0packages depend

2.2Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Jan PorthunCRAN page ↗GitHub ↗Issues ↗

Estimate one or two cutpoints of a metric or ordinal-scaled variable in the multivariable context of survival data or time-to-event data. Visualise the cutpoint estimation process using contour plots, index plots, and spline plots. It is also possible to estimate cutpoints based on the assumption of a U-shaped or inverted U-shaped relationship between the predictor and the hazard ratio. Govindarajulu, U., and Tarpey, T. (2022) doi:10.1080/02664763.2020.1846690.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("cutpoint", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("jan-por/cutpoint")

Development version from jan-por/cutpoint. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-cutpoint

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-cutpoint

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-cutpoint

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.4 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

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 1,859 wordsVignettesNoNEWSNoCitation fileYes · software entry onlyWebsitenot declared in DESCRIPTION

Help pages: 9 (3 internal)includes a package overview page
Examples that run: 67%4 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 80%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 11%

How these are measured

Downloads

2.2K

CRAN downloads in the past year

Rank #20,226 · ~6/day · ~186/mo

Releases R versions

Daily download trend is not available in this view yet.

22730 days

65390 days

2.2K1 year

Compare downloads with other packages →

Also on76 r2u13 autocran

How downloads are counted

Repository

jan-por/cutpoint ↗Account: jan-por

1Stars

0Forks

0Open issues

0Open PRs

1Releases

52Commits

1Commit identities

52 commits · Last activity 2025-08-22 · 0% stars, 30d · Default branch at 1.0.0.9000, ahead of CRAN 1.0.0 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 15
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2025-11-09 · 12026-07-07 · 1

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/jan-por/cutpoint on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (1)

README.Rmd

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing cutpoint adds 66 packages (37 with compiled code, 65 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 3.5

Imports (7)

graphicsmagrittr plotly RcppAlgosstatssurvivalutils

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Jan Porthun

Releases (1)

R
R 4.6.0 released · 2026-04-24
1.0.0Latest
record
2025-05-09 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-05-09
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Bundled data: 6.7 KB / 2 files
Download size: 1.0 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("cutpoint")

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

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cutpoint version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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