fmla2treatedblocking

Given a function and any of the arguments normally passed to model.frame,
this function will return a data.frame with two columns: a treatment indicator
and a blocking factor.

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

fmla2treatedblocking function

<dl><dt>x</dt>
<dd>A formula</dd>
<dt>...</dt>
<dd>Arguments to be passed to model.frame (e.g. <code>data</code>)</dd></dl>

Arguments

(Internal) A helper function to turn formulas into treatment and blocking variables — fmla2treatedblocking

<dl>

<dt>x</dt>
<dd>A formula</dd>


<dt>...</dt>
<dd>Arguments to be passed to model.frame (e.g. <code>data</code>)</dd>

</dl>

fmla2treatedblocking: (Internal) A helper function to turn formulas into treatment and blocking variables

Description

Usage

Value

Arguments