R Observatory: Metrics for jointVIP version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

jointVIP

1.0.1Package record

Prioritize Variables with Joint Variable Importance Plot in Observational Study Design

0packages dependsuggested by 1

5.5Kdownloads / year

97.8%test coverage

13/13flavors OK

Overview

About

Maintained by Lauren D. LiaoCRAN page ↗GitHub ↗Website ↗Issues ↗

In the observational study design stage, matching/weighting methods are conducted. However, when many background variables are present, the decision as to which variables to prioritize for matching/weighting is not trivial. Thus, the joint treatment-outcome variable importance plots are created to guide variable selection. The joint variable importance plots enhance variable comparisons via unadjusted bias curves derived under the omitted variable bias framework. The plots translate variable importance into recommended values for tuning parameters in existing methods. Post-matching and/or weighting plots can also be used to visualize and assess the quality of the observational study design. The method motivation and derivation is presented in "Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot" by Liao et al. (2024) doi:10.1080/00031305.2024.2303419. See the package paper by Liao and Pimentel (2024) doi:10.21105/joss.06093 for a beginner friendly user introduction.

Changes in 1.0.1

minor correction to the jointVIP package vignettes dependency on weightit

From NEWS.md in the release

Install

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

install.packages("jointVIP", 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("ldliao/jointVIP")

Development version from ldliao/jointVIP. 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-jointvip

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-jointVIP

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-jointVIP

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 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-10
ERROR13 OK, 1 ERROR2026-04-09
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMEYes · 299 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 1.0.1Citation fileYes · cites a publicationWebsiteYes · pkgdown

Cites a JOSS paper

Help pages: 19
Examples that run: 100%9 run in a plain check
Exported functions with examples: 50%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (2)

How these are measured

Downloads

5.5K

CRAN downloads in the past year

Rank #8,827 · ~15/day · ~461/mo

Releases R versions

Daily download trend is not available in this view yet.

36530 days

1.1K90 days

5.5K1 year

Compare downloads with other packages →

Also on76 r2u7 autocran

How downloads are counted

Repository

ldliao/jointvip ↗Account: ldliao

7Stars

0Forks

0Open issues

0Open PRs

1Releases

115Commits

2Commit identities

causal-inferenceobservational-studystudy-designrstatsr

115 commits · Last activity 2025-02-01 · 0% stars, 30d · The default branch showed an older version (1.0.0) than CRAN on 2026-10-21

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 140
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-04-28 · 72026-07-07 · 7

How these are measured

PracticesBeta

10 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/ldliao/jointvip on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Contributing guide

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2025-02-01 · The repository has a site deploy workflow

pkgdown site last built 2025-02-01, before release 1.0.1 (2025-09-12)

Coverage (1)

Coverage reporting

Show all practicesHide 2 practices

Reproducibility and dev environment (1)

data-raw/

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing jointVIP adds 19 packages (9 with compiled code, 16 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (1)

R >= 3.3

Imports (2)

ggrepel ggplot2

LinkingTo (0)

none

Suggests (10)

causaldata devtools knitr MatchIt WeightIt optmatch optweight rmarkdown testthat stringr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

vbm

How these are counted

Code & Tests

Datasets

People & History

People (2)

Lauren D. Liao

Author, Maintainer since 0.1.0 (2022)

Samuel D. Pimentel

Author

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
record
2025-09-13 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.0
record
2024-11-22 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.1.2
record
2023-03-08 · diff ↗
0.1.1
record
2023-01-26 · diff ↗
0.1.0
record
2022-12-21
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-12-21
Total releases: 5 / 4 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.3
Bundled data: 13 KB / 1 file
Download size: 1.8 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("jointVIP")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.21105/joss.06093.

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 jointVIP version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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