Package index • TriMatch

All functions

OneToN(): This method will use a M1-to-M2-to-1 matching.

TriMatch-package TriMatch: 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

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(): 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()].