R Observatory: Metrics for cohorttools version 0.1.8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cohorttools

0.1.8Package record

Cohort Data Analyses

0packages depend

4.8Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jari HaukkaCRAN page ↗

Functions to make lifetables and to calculate hazard function estimate using Poisson regression model with splines. Includes function to draw simple flowchart of cohort study. Function boxesLx() makes boxes of transition rates between states. It utilizes 'Epi' package 'Lexis' data.

Changes in 0.1.8

Fixed boxesLx function

From NEWS.md in the release

Install

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

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

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

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-cohorttools

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-cohorttools

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-cohorttools

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: 2.5 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
OK12 OK2026-04-26

Show 2 earlier changesHide 2 earlier changes

ERROR12 OK, 2 ERROR2026-04-16
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.8

READMENoVignettesNoNEWSYes · 67% structured · mentions 0.1.8Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 7
Examples that run: 100%6 run in a plain check
Exported functions with examples: 86%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

4.8K

CRAN downloads in the past year

Rank #6,633 · ~13/day · ~402/mo

Releases R versions

Daily download trend is not available in this view yet.

44530 days

1.3K90 days

4.8K1 year

Compare downloads with other packages →

Also on113 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing cohorttools adds 78 packages (44 with compiled code, 73 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (4)

R >= 3.6Epi cmprsk ggplot2

Imports (6)

statssurvivalDiagrammeR DiagrammeRsvg rsvgmgcv

LinkingTo (0)

none

Suggests (5)

knitr rmarkdownlatticemstate testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Jari Haukka

Author, Maintainer since 0.1.0 (2019)

Releases (9)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.1.8Latest
record
2026-04-21 · current release · diff ↗
0.1.7
record
2025-10-19 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.1.6
record
2022-11-23 · diff ↗
0.1.5
record
2022-11-16 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.4
record
2020-12-03 · diff ↗
0.1.3
record
2020-10-16 · diff ↗ ·
added 1 export
plotratetable
R
R 4.0.0 released · 2020-04-24
0.1.2
record
2020-03-13 · diff ↗
0.1.1
record
2020-03-02 · diff ↗ ·
added 1 export
plotcuminc
0.1.0
record
2019-10-28

Show 1 earlier eventHide 1 earlier event

R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-10-28
Total releases: 9 / 7 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.6
Download size: 10 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cohorttools")

Format

Haukka, J. (2026). cohorttools: Cohort Data Analyses (Version 0.1.8) [Computer software]. https://doi.org/10.32614/CRAN.package.cohorttools

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cohorttools version 0.1.8 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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