.apply_crit_to_condition_pairs

Returns smallest value from .apply_crit for all condition pairs.

internal

Select statistically similar research groups by backward selection using various robust algorithms, including a heuristic based on linear discriminant analysis, multiple heuristics based on the test statistic, and parallelized exhaustive search.

Kyle Gorman

ldamatch

Selection of Statistically Similar Research Groups

Géza Kiss

.apply_crit_to_condition_pairs function

<dl><dt>covariates</dt>
<dd>A columnwise matrix containing
covariates to match the conditions on.</dd>
<dt>crit</dt>
<dd>The criterion function to use, such as <code>.t_crit</code>.</dd>
<dt>condition</dt>
<dd>A factor vector containing condition labels.</dd>
<dt>thresh</dt>
<dd>The return value of halting_test has to be greater than
or equal to thresh for the matched groups.</dd></dl>

Arguments

Returns smallest value from .apply_crit for all condition pairs. — .apply_crit_to_condition_pairs

<dl>

<dt>covariates</dt>
<dd>A columnwise matrix containing
covariates to match the conditions on.</dd>


<dt>crit</dt>
<dd>The criterion function to use, such as <code>.t_crit</code>.</dd>


<dt>condition</dt>
<dd>A factor vector containing condition labels.</dd>


<dt>thresh</dt>
<dd>The return value of halting_test has to be greater than
or equal to thresh for the matched groups.</dd>

</dl>

.apply_crit_to_condition_pairs: Returns smallest value from .apply_crit for all condition pairs.

Description

Usage

Value

Arguments