R Observatory: Metrics for multilevelPSA version 1.3.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

multilevelPSA

1.3.1

Multilevel Propensity Score Analysis

0packages depend

3.8Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Jason BryerFirst published 2013-02-139 releasesCRAN page ↗GitHub ↗

Conducts and visualizes propensity score analysis for multilevel, or clustered data. Bryer & Pruzek (2011) doi:10.1080/00273171.2011.636693.

Install

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

install.packages("multilevelPSA", 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("jbryer/multilevelPSA")

Development version from jbryer/multilevelPSA. 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-multilevelpsa

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-multilevelPSA

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-multilevelPSA

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.3 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

9

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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 98%
Return-value docs: 69%
References docs: 11%

Downloads

3.8K

CRAN downloads in the past year

Rank #13,350 · ~10/day · ~316/mo

Releases R versions

Daily download trend is not available in this view yet.

18130 days

77690 days

3.8K1 year

Compare downloads with other packages →

Also on164 r2u26 autocran

Repository

GitHub ↗ jbryer/multilevelpsa

16Stars

6Forks

0Open issues

0Open PRs

0Releases

161Commits

3Contributors

161 commits · Last activity 2025-11-17

Stars over time

2023-09-06 · 162026-07-07 · 16

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/jbryer/multilevelpsa on 2026-08-23.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

CRAN-SUBMISSION

Docs source (1)

README.Rmd

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

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Depends (3)

R >= 3.0ggplot2 xtable

Imports (7)

gridMASSparty plyr PSAgraphics psych reshape

LinkingTo (0)

none

Suggests (5)

knitr MatchIt mice rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Jason Bryer

Author, Maintainer

Authors (1)

Jason Bryer

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.3.1Latest
2025-11-17 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.3.0
2025-04-04 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.2.5
2018-03-22 · diff ↗
unarchivedReturned to CRAN
2018-03-22
archivedRemoved from CRAN
2018-03-21
check issues were not corrected despite reminder WARNING from byte compilation/codetools
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03

Show 10 earlier events

1.2.4
2015-12-28 · diff ↗
1.2.3
2015-11-05 · diff ↗
R
R 3.2.0 released · 2015-04-16
1.2.2
2014-11-25 · diff ↗
R
R 3.1.0 released · 2014-04-10
1.2
2013-05-10 · diff ↗
R
R 3.0.0 released · 2013-04-03
1.0
2013-02-13 · diff ↗
2.15.3
2013-01-25
R
R 2.15.0 released · 2012-03-30

Package metadata

First published: 2013-02-13
Total releases: 9 / 13 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.0
Bundled data: 2.1 MB / 5 files
Download size: 2.9 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("multilevelPSA")

Format

Bryer, J. (2025). multilevelPSA: Multilevel Propensity Score Analysis (Version 1.3.1) [Computer software]. https://doi.org/10.32614/CRAN.package.multilevelPSA

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 multilevelPSA version 1.3.1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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