Package: TriMatch 1.0.2

TriMatch: Propensity Score Matching of Non-Binary Treatments

Propensity score matching for non-binary treatments.

Authors:Jason Bryer [aut, cre]

TriMatch_1.0.2.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
TriMatch/json (API)

# Install 'TriMatch' in R:

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

Bug tracker:https://github.com/jbryer/trimatch/issues

Pkgdown/docs site:https://jbryer.github.io

Datasets:

nmes - Results from the 1987 National Medical Expenditure Study
tutoring - Results from a study examining the effects of tutoring services on course grades.

On CRAN:

6.68 score 12 stars 1 packages 44 scripts 739 downloads 3 mentions 16 exports 77 dependencies

Last updated from:7bdb7e05a1. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	170
source / vignettes	OK	288
linux-release-x86_64	NOTE	162
macos-release-arm64	NOTE	126
macos-oldrel-arm64	NOTE	160
windows-devel	NOTE	103
windows-release	NOTE	109
windows-oldrel	NOTE	99
wasm-release	OK	163

Exports:balance.plot boxdiff.plot covariateBalance data.frame.to.list distances.plot loess3.plot maximumTreat multibalance.plot OneToN parallel.plot perpPt segment1 segment2 trimatch trips unmatched

Dependencies:abind backports boot broom car carData cli colorspace cowplot cpp11 Deriv doBy dplyr farver forecast Formula fracdiff generics ggplot2 glue GPArotation gridExtra gtable isoband labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv minqa mnormt modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig plyr PSAgraphics psych purrr quantreg R6 randomForest rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas reshape2 rlang rpart S7 scales SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Propensity Score Matching with Three Groups

Rendered fromTriMatch.Rmdusingknitr::rmarkdown

Last update: 2026-04-28
Started: 2025-04-03

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Propensity Score Analysis for Non-Binary Treatments	TriMatch-package TriMatch
Convert a list of vectors to a data frame.	as.data.frame.list
Balance plot for the given covariate.	balance.plot
Returns a 'ggplot2' box plot of the differences.	boxdiff.plot
Calculate covariate effect size differences before and after stratification.	covariateBalance
Convert a list of vectors to a data frame.	data.frame.to.list
Euclidean distance calculation.	distance.euclid
Barplot for the sum of distances.	distances.plot
Compute ANOVA	ezANOVA
Loess plot for matched triplets.	loess3.plot
This method will return at least one treatment from groups one and two within the caliper.	maximumTreat
Merges outcomes with the matched set.	merge.triangle.matches
Merges covariate(s) with the results of [trips()].	merge.triangle.psa
Multiple covariate balance assessment plot.	multibalance.plot
Results from the 1987 National Medical Expenditure Study	nmes
This method will use a M1-to-M2-to-1 matching.	OneToN
Parallel coordinate plot for the three groups and dependent variable.	parallel.plot
Internal method for plotting. Finds a point d distance from x, y	perpPt
Prints a grid of balance plots.	plot.balance.plots
Triangle plot drawing matched triplets.	plot.triangle.matches
Triangle plot.	plot.triangle.psa
Print the results of [balance.plot()] for a data frame of covariates.	print.balance.plots
Print method for [plot.triangle.psa()]. The primary purpose is to suppress the "Removed n rows containing missing values" warning printed by `ggplot2`.	print.triangle.plot
Prints the results of [summary.triangle.matches()].	print.trimatch.summary
Internal method for plotting. Position along the left side segment	segment1
Internal method for plotting. Position along the right side segment	segment2
Returns significance level.	star
Prints a summary table of the test statistics of each balance plot.	summary.balance.plots
Provides a summary of the matched triplets including analysis of outcome measure if provided.	summary.triangle.matches
Prints the summary results of the logistic regression models.	summary.triangle.psa
Provides a summary of unmatched subjects.	summary.unmatched
Creates matched triplets.	trimatch
Recursive function to find possible matched triplets using the apply functions.	trimatch.apply2
Estimates propensity scores for three groups	trips
Results from a study examining the effects of tutoring services on course grades.	tutoring
Returns rows from [trips()] that were not matched by [trimatch()].	unmatched