rrp.dist {rrp}R Documentation

RRP dissimilarity matrix

Description

Main piece of the RRP algorithm which generates the RRP dissimilarity matrix.

Usage

rrp.dist(X, treated = NULL, msplit = 10, Rep = 250, cut.in = 15, 
 check.bal = FALSE, plot = FALSE, asdist = FALSE, verbose = 0)

Arguments

X a data.frame object
treated optional class indicator variable
msplit minimum split parameter in the rpart algorithm
Rep number of RRP replications
cut.in number of breaks in which to cut continuous variables
check.bal indicator function. If TRUE balance check using hyper-rectangles will be used inside leaves
plot wheter to plot the porximity matrix as image
asdist if TRUE returns an object of class dist
verbose if greater than 1 some information is printed

Details

This algorithm allows for missing data in X. From version 1.6 of the package the RRP matrix is stored as an external pointer to avoid duplications. This allow to work on bigger datasets.

Value

an object of class externalptr, XPtr or dist

Author(s)

S.M. Iacus

References

Iacus, S.M., Porro, G. (2009) Random Recursive Partitioning: a matching method for the estimation of the average treatment effect, Journal of Applied Econometrics, 24, 163-185.

Iacus, S.M., Porro, G. (2007) Missing data imputation, matching and other applications of random recursive partitioning, Computational Statistics and Data Analysis, 52, 2, 773-789.

See Also

rpart


[Package rrp version 2.9 Index]