missing_x_msg

(Internal) If the x argument does not exist for
match_on, fullmatch, or pairmatch, use this function
to print a helpful message.

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

missing_x_msg function

<dl><dt>x_str</dt>
<dd>x as a string of code, usually deparse(substitute(x))</dd>
<dt>data_str</dt>
<dd>data arg as string of code</dd>
<dt>...</dt>
<dd>will look for 'z = &lt;stuff&gt;' in the extra args of caller</dd></dl>

Arguments

Author

(Internal) If the x argument does not exist for
match_on, fullmatch, or pairmatch, use this function
to print a helpful message. — missing_x_msg

<dl>

<dt>x_str</dt>
<dd>x as a string of code, usually deparse(substitute(x))</dd>


<dt>data_str</dt>
<dd>data arg as string of code</dd>


<dt>...</dt>
<dd>will look for 'z = &lt;stuff&gt;' in the extra args of caller</dd>

</dl>

missing_x_msg: (Internal) If the x argument does not exist for match_on, fullmatch, or pairmatch, use this function to print a helpful message.

Description

Usage

Value

Arguments

Author