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TriMatch (version 0.9.9)

Propensity Score Matching of Non-Binary Treatments

Description

Propensity score matching for non-binary treatments.

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Install

install.packages('TriMatch')

Monthly Downloads

208

Version

0.9.9

License

GPL (>= 2)

Issues

1

Pull Requests

1

Stars

13

Forks

3

Maintainer

Jason Bryer

Last Published

December 6th, 2017

Functions in TriMatch (0.9.9)

TriMatch-package

Propensity Score Analysis for Non-Binary Treatments
covariateBalance

Calculate covariate effect size differences before and after stratification.
data.frame.to.list

Convert a list of vectors to a data frame.
as.data.frame.list

Convert a list of vectors to a data frame.
distance.euclid

Euclidean distance calculation.
boxdiff.plot

Returns a ggplot2 box plot of the differences.
balance.plot

Balance plot for the given covariate.
plot.triangle.matches

Triangle plot drawing matched triplets.
plot.triangle.psa

Triangle plot.
distances.plot

Barplot for the sum of distances.
perpPt

Internal method for plotting. Finds a point d distance from x, y
loess3.plot

Loess plot for matched triplets.
plot.balance.plots

Prints a grid of balance plots.
maximumTreat

This method will return at least one treatment from groups one and two within the caliper.
segment2

Internal method for plotting. Position along the right side segment
star

Returns significance level.
merge.triangle.matches

Merges outcomes with the matched set.
print.trimatch.summary

Prints the results of summary.triangle.matches.
summary.balance.plots

Prints a summary table of the test statistics of each balance plot.
segment1

Internal method for plotting. Position along the left side segment
summary.triangle.matches

Provides a summary of the matched triplets including analysis of outcome measure if provided.
nmes

Results from the 1987 National Medical Expenditure Study
trimatch

Creates matched triplets.
parallel.plot

Parallel coordinate plot for the three groups and dependent variable.
trimatch.apply2

Recursive function to find possible matched triplets using the apply functions.
summary.triangle.psa

Prints the summary results of the logistic regression models.
print.balance.plots

Print the results of balance.plot for a data frame of covariates.
summary.unmatched

Provides a summary of unmatched subjects.
print.triangle.plot

Print method for plot.triangle.psa. The primary purpose is to suppress the "Removed n rows containing missing values" warning printed by ggplot2.
trips

Estimates propensity scores for three groups
merge.triangle.psa

Merges covariate(s) with the results of trips.
tutoring

Results from a study examining the effects of tutoring services on course grades.
multibalance.plot

Multiple covariate balance assessment plot.
unmatched

Returns rows from trips that were not matched by trimatch.
OneToN

This method will use a M1-to-M2-to-1 matching.