R Observatory: Metrics for WINS version 1.5.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

WINS

1.5.1Package record

The R WINS Package

0packages dependsuggested by 1

3.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Ying CuiCRAN page ↗

Calculate the win statistics (win ratio, net benefit and win odds) for prioritized multiple endpoints, plot the win statistics and win proportions over study time if at least one time-to-event endpoint is analyzed, and simulate datasets with dependent endpoints. The package can handle any type of outcomes (continuous, ordinal, binary, time-to-event) and allow users to perform stratified analysis, inverse probability of censoring weighting (IPCW) and inverse probability of treatment weighting (IPTW) analysis.

Install

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

install.packages("WINS", 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-wins

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-WINS

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-WINS

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: 6.2 min · r-release-macos-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 1.5.1

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 12
Examples that run: 64%7 run in a plain check · 4 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: 8%

Vignettes (1)

Introduction to the R Package `WINS`

How these are measured

Downloads

3.6K

CRAN downloads in the past year

Rank #8,817 · ~10/day · ~300/mo

Releases R versions

Daily download trend is not available in this view yet.

44230 days

1.1K90 days

3.6K1 year

Compare downloads with other packages →

Also on72 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing WINS adds 78 packages (40 with compiled code, 72 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (1)

R >= 3.5.0

Imports (7)

copula ggplot2 ggpubr reshape2survivalstringr viridis

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

causalWins

How these are counted

Code & Tests

Datasets

People & History

People (2)

Ying Cui

Author, Maintainer since 1.0 (2021)

Bo Huang

Author

Releases (12)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.5.1Latest
record
2025-07-02 · current release · diff ↗
1.5
record
2025-05-05 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.4.3
record
2025-01-13 · diff ↗
1.4.2
record
2024-04-29 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.4.1
record
2024-04-19 · diff ↗
1.4
record
2024-04-08 · diff ↗ ·
removed 1 export
win.stat.Luo
1.3.3
record
2023-07-09 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.3.2
record
2022-09-30 · diff ↗
1.3
record
2022-09-09 · diff ↗
1.2
record
2022-07-18 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.1
record
2022-02-03 · diff ↗

Show 2 earlier eventsHide 2 earlier events

1.0
record
2021-12-16
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-12-16
Total releases: 12 / 5 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 52 KB / 5 files
Download size: 215 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WINS")

Format

Cui, Y., & Huang, B. (2025). WINS: The R WINS Package (Version 1.5.1) [Computer software]. https://doi.org/10.32614/CRAN.package.WINS

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 WINS version 1.5.1 [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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