R Observatory: Metrics for eVCGsampler version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

eVCGsampler

1.2.0Package record

VCG Sampling using Energy-Based Covariate Balancing

0packages depend

3.6Kdownloads / year

82.0%test coverage

13/13flavors OK

Overview

About

Maintained by Andreas SchulzCRAN page ↗GitHub ↗Declared funder: Sanofi

Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.

Changes in 1.2.0

launchApp() now starts a new, modernised Shiny app with a guided five-step workflow (Data, Setup, Pre-tests, Sampling, Report), example data, an HTML report and Excel/CSV exports. The app's extra packages are listed under Suggests; launchApp() reports any missing ones, and passes ... on to shiny::runApp().
VCG_sampler(): the size sanity warnings now count the POOL as the first level of the group variable, so they are also correct for combine_data() output ("POOL"/"TG") instead of reporting a POOL size of 0.
VCG_sampler() now stops with a clear message when n is larger than the POOL with complete data, or when one of the groups is empty, instead of silently selecting the whole POOL.
VCG_sampler() with stratum now returns the rows in the input order and keeps rows with a missing stratum value (with VCG = NA), as is already done for rows with missing covariates.
BestVCGsize() no longer fails for small POOLs or when no plateau is found (it returns a single NA), only scans sizes up to the POOL size with complete data, and no longer repeats the VCG_sampler() size warnings for every tried size.
robust_scale() ignores NA when detecting binary/categorical variables and no longer returns Inf/NaN when the reference group is constant.
plot_var() now works with a single stratum level and with character stratum variables.

From NEWS.md in the release

Install

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

install.packages("eVCGsampler", 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("Sanofi-Public/eVCGsampler")

Development version from Sanofi-Public/eVCGsampler. 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-evcgsampler

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-eVCGsampler

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-eVCGsampler

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: 6.4 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-18
WARNING6 OK, 8 WARNING2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.0

READMEYes · 163 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11
Examples that run: 91%10 run in a plain check · 1 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 91%
Help pages citing references: 0%

Vignettes (1)

eVCGsampler

How these are measured

Downloads

3.6K

CRAN downloads in the past year

Rank #13,743 · ~10/day · ~304/mo

Releases R versions

Daily download trend is not available in this view yet.

30730 days

84390 days

3.6K1 year

Compare downloads with other packages →

Also on95 r2u4 autocran

How downloads are counted

Repository

sanofi-public/evcgsampler ↗Organization: Sanofi-Public

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-10-15

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: not measured

Issues over time

2026-07-07 · 12026-07-30 · 0

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/sanofi-public/evcgsampler on 2026-10-18.

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Installing eVCGsampler adds 48 packages (29 with compiled code, 43 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, patchwork 3.2 MB.

Depends (1)

ggplot2

Imports (4)

ggforce osqp patchwork shiny

LinkingTo (0)

none

Suggests (11)

bslib DT glue knitr openxlsx readxl rmarkdown shinycssloaders shinyhelper shinyjs 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 (2)

Andreas Schulz

Author, Maintainer since 0.9.2 (2025)

Created in 2025

Sanofi

Copyright holder, Funder

Releases (6)

Pick two releases to compare their code metrics.

1.2.0Latest
record
2026-10-15 · current release · diff ↗ ·
listed once in CRAN's queue
Seen in one reading of CRAN's incoming queue, at 2026-10-15 12:21 UTC, so it stayed less than the time between readings.
1.1.2
record
2026-07-22 · diff ↗
1.1.0
record
2026-07-06 · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0.0
record
2026-03-10 · diff ↗ ·
added 1 export
launchApp
0.9.5
record
2026-02-13 · diff ↗ ·
added 2 exports
combine_variables, find_outliers
0.9.2
record
2025-12-19
R
R 4.5.0 released · 2025-04-11

Across CRAN, the median accepted release of the past year spent 23 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2025-12-19
Total releases: 6 / 1 yrs
License: MIT + file LICENSE OSI
Download size: 2.9 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("eVCGsampler")

Format

Schulz, A., & Sanofi. (2026). eVCGsampler: VCG Sampling using Energy-Based Covariate Balancing (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.eVCGsampler

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 eVCGsampler version 1.2.0 [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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