validDistanceSpecification

The functions <code>fullmatch</code> and <code>pairmatch</code>
create optimal matches of treated and control units given a
matrix (or similar representation) of distances between treated and
control units. These distance specifications must implement certain
generic functions. This function checks that all necessary methods
exist and the object can be used to specify distances in a way that
the matching functions can use.

internal

Distance based bipartite matching using minimum cost flow, oriented
to matching of treatment and control groups in observational studies ('Hansen'
and 'Klopfer' 2006 <doi:10.1198/106186006X137047>). Routines are provided to
generate distances from generalised linear models (propensity score
matching), formulas giving variables on which to limit matched distances,
stratified or exact matching directives, or calipers, alone or in
combination.

Josh Errickson

optmatch

Functions for Optimal Matching

Ben Hansen

Mark Fredrickson

Josh Buckner

Adam Rauh

validDistanceSpecification function

<dl><dt>distance</dt>
<dd>The object to test.</dd>
<dt>stopOnProblem</dt>
<dd>If <code>TRUE</code> (default) the function will
raise an error for invalid objects. Otherwise, it returns a
logical.</dd></dl>

Arguments

(Internal) Validate that objects are valid distance specifications. — validDistanceSpecification

<dl>

<dt>distance</dt>
<dd>The object to test.</dd>


<dt>stopOnProblem</dt>
<dd>If <code>TRUE</code> (default) the function will
raise an error for invalid objects. Otherwise, it returns a
logical.</dd>

</dl>

validDistanceSpecification: (Internal) Validate that objects are valid distance specifications.

Description

Usage

Value

Arguments