R Observatory: Metrics for subscreen version 4.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

subscreen

4.0.1

Systematic Screening of Study Data for Subgroup Effects

0packages depend

3.4Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Bodo KirschFirst published 2017-07-1911 releasesCRAN page ↗

Identifying outcome relevant subgroups has now become as simple as possible! The formerly lengthy and tedious search for the needle in a haystack will be replaced by a single, comprehensive and coherent presentation. The central result of a subgroup screening is a diagram in which each single dot stands for a subgroup. The diagram may show thousands of them. The position of the dot in the diagram is determined by the sample size of the subgroup and the statistical measure of the treatment effect in that subgroup. The sample size is shown on the horizontal axis while the treatment effect is displayed on the vertical axis. Furthermore, the diagram shows the line of no effect and the overall study results. For small subgroups, which are found on the left side of the plot, larger random deviations from the mean study effect are expected, while for larger subgroups only small deviations from the study mean can be expected to be chance findings. So for a study with no conspicuous subgroup effects, the dots in the figure are expected to form a kind of funnel. Any deviations from this funnel shape hint to conspicuous subgroups.

Install

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

install.packages("subscreen", 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-subscreen

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-subscreen

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-subscreen

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

19

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 5,451 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 50%
Documented parameters: 100%
Return-value docs: 67%
References docs: 0%

Downloads

3.4K

CRAN downloads in the past year

Rank #12,755 · ~9/day · ~285/mo

Releases R versions

Daily download trend is not available in this view yet.

15830 days

78990 days

3.4K1 year

Compare downloads with other packages →

Also on111 r2u21 autocran

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (19)

utilsplyr data.table ggplot2 ggrepel rlang stringrgrDevicesgraphicsshiny DTstatsshinyjsmethodsbsplus colourpicker dplyr ranger shinyWidgets

LinkingTo (0)

none

Suggests (5)

parallelsurvivalknitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (7)

Maintainer (1)

Bodo Kirsch

Author, Maintainer

Authors (7)

Bodo Kirsch

Author, Maintainer

Julia Eichhorn

Author · added in 4.0.1

Steffen Jeske

Author · added in 3.0.0

Hermann Kulmann

Author

Susanne Lippert

Author

Christoph Muysers

Author · added in 1.0.0

Thomas Schmelter

Author

Listed in earlier versions (1)

Steffen Mueller

no longer listed · 2.0.1

Package Timeline

11 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
4.0.1Latest
2025-03-18 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
3.0.7
2022-05-13 · diff ↗
unarchivedReturned to CRAN
2022-05-12
R
R 4.2.0 released · 2022-04-22
archivedRemoved from CRAN
2022-02-23
requires archived package 'randomForestSRC'
R
R 4.1.0 released · 2021-05-18
3.0.5
2021-02-10 · diff ↗
3.0.4
2021-02-04 · diff ↗
3.0.3
2021-01-26 · diff ↗
3.0.2
2020-12-03 · diff ↗
3.0.1
2020-10-27 · diff ↗
3.0.0
2020-07-31 · diff ↗

Show 7 earlier events

R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
2.0.1
2019-01-07 · diff ↗
1.0.0
2018-06-22 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.2.2
2017-07-19
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-19
Total releases: 11 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 147 KB / 6 files
Download size: 1.7 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("subscreen")

Format

Kirsch, B., Eichhorn, J., Jeske, S., Kulmann, H., Lippert, S., Muysers, C., & Schmelter, T. (2025). subscreen: Systematic Screening of Study Data for Subgroup Effects (Version 4.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.subscreen

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 subscreen version 4.0.1 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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