optmatch_same_distance

<p>A distances (<code>InfinitySparseMatrix</code>,
<code>BlockedInfinitySparseMatrix</code>, or <code>DenseMatrix</code>), or
<code>optmatch</code> object.</p>

<p>To save space, <code>optmatch</code> objects merely store a hash of the distance
matrix instead of the original object. Any distance objects are hashed before
comparison.</p>

Distance based bipartite matching using the RELAX-IV minimum cost flow solver,
oriented to matching of treatment and control groups in observational
studies. 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.

Mark Fredrickson

optmatch

Functions for Optimal Matching

optmatch_same_distance function

Checks if two distances are equivalent. <code>x</code> and <code>y</code> can be
distances (<code>InfinitySparseMatrix</code>, <code>BlockedInfinitySparseMatrix</code>,
or <code>DenseMatrix</code>), or they can be <code>optmatch</code> objects. — optmatch_same_distance

Checks if two distances are equivalent. <code>x</code> and <code>y</code> can be
distances (<code>InfinitySparseMatrix</code>, <code>BlockedInfinitySparseMatrix</code>,
or <code>DenseMatrix</code>), or they can be <code>optmatch</code> objects.

optmatch_same_distance: Checks if two distances are equivalent. `x` and `y` can be distances (`InfinitySparseMatrix`, `BlockedInfinitySparseMatrix`, or `DenseMatrix`), or they can be `optmatch` objects.

Description

Usage

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Value

Details