distance.euclid: Euclidean distance calculation.

In TriMatch: Propensity Score Matching of Non-Binary Treatments

Description

This method uses a simple Euclidean distance calculation for determining the distances between two matches. That is, |ps1 - ps2|.

Usage

distance.euclid(x, grouping, id, groups, caliper, nmatch = Inf)

Arguments

x	vector of propensity scores.
grouping	vector or factor identifying group membership.
id	vector corresponding to unique identifer for each element in x and grouping.
groups	vector of length two indicating the unique groups to calculate the distance between. The first element will be the rows, the second columns.
caliper	a scaler indicating the caliper to use for matching within each step.
nmatch	number of smallest distances to retain.

Value

a list of length equal to x. Each element of the list is a named numeric vector where the values correspond to the distance and the name to the id.

TriMatch documentation built on May 2, 2019, 12:37 p.m.