R Observatory: Metrics for WAreg version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

WAreg

0.1.0Package record

While-Alive Regression for Composite Endpoints with Cluster-Robust Inference

0packages depend

1.5Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Xi FangCRAN page ↗GitHub ↗Issues ↗

Provides estimation and inference for while-alive regression models targeting the while-alive loss rate for composite endpoints that include recurrent events and a terminal event. The implementation supports flexible time-varying covariate effects through user-selected time bases, including B-splines, natural splines, M-splines, step functions, truncated linear bases, interval-local bases, and piecewise polynomials. Inference can be performed using cluster-robust variance estimators for cluster-randomized trials, with subject-level (IID) variance as a special case. The package includes prediction and plotting utilities and K-fold cross-validation for selecting basis and tuning parameters. Methodology is based on Fang et al. (2025) doi:10.1093/biostatistics/kxaf047.

Install

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

install.packages("WAreg", 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("fancy575/WAreg")

Development version from fancy575/WAreg. 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-wareg

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-WAreg

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-WAreg

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: 2.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 2 earlier changesHide 2 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK10 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8 (1 internal)
Examples that run: 33%2 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 33%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

1.5K

CRAN downloads in the past year

Rank #23,095 · ~4/day · ~124/mo

Releases R versions

Daily download trend is not available in this view yet.

24530 days

57090 days

1.5K1 year

Compare downloads with other packages →

Also on44 r2u2 autocran

How downloads are counted

Repository

fancy575/wareg ↗Account: fancy575

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2025-11-09

Responsiveness

not measured

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/fancy575/wareg on 2026-10-22.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing WAreg adds 30 packages (16 with compiled code, 28 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.

Depends (1)

R >= 4.1

Imports (10)

dplyr tidyr tibble ggplot2survivalnleqslvsplinesMASSmagrittr rlang

LinkingTo (0)

none

Suggests (4)

splines2 testthat knitr rmarkdown

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 (3)

Xi Fang

Author, Maintainer since 0.1.0 (2026)

Fan Li

Author

Hajime Uno

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
record
2026-03-06 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-06
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1
Bundled data: 241 KB / 2 files
Download size: 262 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WAreg")

Format

Fang, X., Li, F., & Uno, H. (2026). WAreg: While-Alive Regression for Composite Endpoints with Cluster-Robust Inference (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.WAreg

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 WAreg version 0.1.0 [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.

Report a problem with this page →