Package: matchMulti 1.1.15

Sam Pimentel

matchMulti: Optimal Multilevel Matching using a Network Algorithm

Performs multilevel matches for data with cluster- level treatments and individual-level outcomes using a network optimization algorithm. Functions for checking balance at the cluster and individual levels are also provided, as are methods for permutation-inference-based outcome analysis. Details in Pimentel et al. (2018) <doi:10.1214/17-AOAS1118>. The optmatch package, which is useful for running many of the provided functions, may be downloaded from Github at <https://github.com/markmfredrickson/optmatch> if not available on CRAN.

Authors:Luke Keele [aut], Luke Miratrix [aut], Sam Pimentel [aut, cre], Paul Rosenbaum [ctb]

matchMulti_1.1.15.tar.gz
matchMulti_1.1.15.tar.gz(r-4.7-any)matchMulti_1.1.15.tar.gz(r-4.6-any)
matchMulti_1.1.15.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
matchMulti/json (API)

# Install 'matchMulti' in R:

install.packages('matchMulti', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

catholic_schools - 1980 and 1982 High School and Beyond Data
minischool - Mini-data set for illustration

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.84 score 1 stars 1 packages 23 scripts 457 downloads 26 exports 119 dependencies

Last updated from:fd30b931af. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	182
source / vignettes	OK	256
linux-release-x86_64	OK	196
wasm-release	OK	161

Exports:agg assembleMatch balanceMulti balanceTable buildCaliper ci_func describe_data_counts elastic handleNA is.binary is.matchMultiResult match2distance matchMulti matchMultioutcome matchMultisens matchSchools matchStudents pairmatchelastic pe_func pval_func rematchSchools resolve.cols sdiff smahal students2schools tally_schools

Dependencies:backports base64enc bit bit64 boot broom bslib cachem checkmate cli clipr cluster codetools coin colorspace cpp11 crayon data.table digest dplyr evaluate farver fastmap fontawesome forcats foreach foreign Formula fs gdata generics ggplot2 glmnet glue gridExtra gtable gtools haven highr Hmisc hms htmlTable htmltools htmlwidgets isoband iterators jomo jquerylib jsonlite knitr labeling lattice libcoin lifecycle lme4 magrittr MASS Matrix matrixStats memoise mice mime minqa mitml modeltools multcomp mvtnorm nlme nloptr nnet numDeriv ordinal pan pillar pkgconfig plyr prettyunits progress purrr R6 rappdirs rbibutils rcbalance rcbsubset RColorBrewer Rcpp RcppEigen Rdpack readr reformulas rlang rlemon rmarkdown rpart rstudioapi S7 sandwich sass scales shape stringi stringr survival TH.data tibble tidyr tidyselect tinytex tzdb ucminf utf8 vctrs viridisLite vroom weights withr xfun yaml zoo

multiMatch

Rendered frommultiMatch_vignette.Rnwusingknitr::knitr

Last update: 2026-07-21
Started: 2016-05-18

Help page	Topics
Performs balance checking after multilevel matching.	balanceMulti
Construct propensity score caliper	buildCaliper
1980 and 1982 High School and Beyond Data	catholic_schools
Print out summary of student and school counts	describe_data_counts
Optimal Subset Matching without Balance Constraints	elastic pairmatchelastic
A function that performs multilevel matching.	matchMulti
Performs an outcome analysis after multilevel matching.	matchMultioutcome
matchMultiResult object for results of power calculations	is.matchMultiResult matchMultiResult print.matchMultiResult summary.matchMultiResult
Rosenbaum Bounds after Multilevel Matching	matchMultisens
Mini-data set for illustration	minischool
Repeat School Match Only	rematchSchools
Tally schools and students in a given dataset	tally_schools

Package: matchMulti 1.1.15

matchMulti: Optimal Multilevel Matching using a Network Algorithm

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)