Propensity Score Matching of Non-Binary Treatments

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Documentation for package ‘TriMatch’ version 0.9.9

• DESCRIPTION file.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

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