R Observatory: Metrics for multilevelMatching version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2020-01-16. Its history is shown below.

Reason: check issues were not corrected in time. 'Additional issues'

Details below reflect version 1.0.0, its last release before removal.

multilevelMatching

1.0.0Package record

Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Brian G. BarkleyCRAN page ↗Website ↗

Implements methods to estimate causal effects from observational studies when there are 2+ distinct levels of treatment (i.e., "multilevel treatment") using matching estimators, as introduced in Yang et al. (2016) doi:10.1111/biom.12505. Matching on covariates, and matching or stratification on modeled propensity scores, are available. These methods require matching on only a scalar function of generalized propensity scores.

Changes in 1.0.0

Original CRAN release version by Shu Yang (@shuyang1987) and Brian G Barkley (@BarkleyBG).
Added multiMatch() function to carry out all types of matching. This effectively combines multilevelGPSMatch() and multilevelMatchX() into one function. Features include:
Better output:
tidier estimates: see estimateTau()
plus more information from under-the-hood: see the impute_mat object for matrix off all imputed potential outcomes.
Now allows for one-to-many matches for the main matching procedure (and imputing potential outomces). The user may specify M_matches >=1.
Now allows for one-to-many matches to estimate the variance component. The user may specify J_var_matches >=1.
Allowed for more user-specified arguments (for fitting PS models) i.e. model_options
Divergence: Using multiMatch() with match_on='existing' does not always return the same results as using multilevelGPSMatch() for matching on the existing (user-specified) generalized propensity scores.
Added S3 methods for print and summary for the multiMatch class
Added S3 methods for print and summary for the multiMatch class
Users can apply the estimateTrtModel() function before using multiMatch() to verify that the model fitted in multiMatch() is the same as the user desires

From NEWS.md in the release

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/multilevelMatching/multilevelMatching_1.0.0.tar.gz"
pkgFile <- "multilevelMatching_1.0.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 664 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.0Citation fileNoWebsiteYes

Help pages: 13includes a package overview page
Examples that run: 100%12 run in a plain check
Exported functions with examples: 100%
Documented parameters: 99%
Return-value docs: 78%
Help pages citing references: 38%

How these are measured

Downloads

multilevelMatching Releases R versions

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Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.1.2

Imports (4)

MatchingMASSnnetboot

LinkingTo (0)

none

Suggests (4)

knitr rmarkdown testthat rprojroot

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

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–indirect (not tracked)

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Code & Tests

Datasets

People & History

People (2)

Brian G. Barkley

Author, Maintainer since 1.0.0 (2019)

Shu Yang

Author

Releases (1)

R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2020-01-16
check issues were not corrected in time 'Additional issues'
1.0.0
record
2019-05-08
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-05-08
Total releases: 1 / 7 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.1.2
Bundled data: 14 KB / 1 file

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("multilevelMatching")

Format

Yang, S., & Barkley, B. G. (n.d.). multilevelMatching: Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments (Version 1.0.0) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=multilevelMatching

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 multilevelMatching version 1.0.0 [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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