R Observatory: Metrics for jointVIP version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

jointVIP

1.0.1

Prioritize Variables with Joint Variable Importance Plot in Observational Study Design

1packages depend

5.5Kdownloads / year

97.8%test coverage

13/13checks pass

Overview

About

Maintained by Lauren D. LiaoFirst published 2022-12-215 releasesCRAN page ↗GitHub ↗

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.

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.

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).

Health

CRAN checks

13OK

Slowest check: 2.9 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.79

97.8%

Coverage · measured lines

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-09
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 299 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

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

Downloads

5.5K

CRAN downloads in the past year

Rank #8,153 · ~15/day · ~458/mo

Releases R versions

Daily download trend is not available in this view yet.

19430 days

1.1K90 days

5.5K1 year

Compare downloads with other packages →

Also on133 r2u16 autocran

Repository

GitHub ↗ ldliao/jointvip

7Stars

0Forks

0Open issues

0Open PRs

1Releases

115Commits

2Contributors

causal-inferenceobservational-studystudy-designrstatsr

115 commits · Last activity 2025-02-01

Stars over time

2025-04-28 · 72026-07-07 · 7

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/ldliao/jointvip on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

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

1direct

0indirect

vbm

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Lauren D. Liao

Author, Maintainer

Authors (2)

Lauren D. Liao

Author, Maintainer

Samuel D. Pimentel

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
2025-09-13 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.0
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
2023-03-08 · diff ↗
0.1.1
2023-01-26 · diff ↗
0.1.0
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
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("jointVIP")

Format

Liao, L. D., & Pimentel, S. D. (2025). jointVIP: Prioritize Variables with Joint Variable Importance Plot in Observational Study Design (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.jointVIP

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 jointVIP version 1.0.1 [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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