get_adjp_minp

enforces monotonicity in p-values.

internal

Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <doi:10.18637/jss.v108.i06>.

Luke Miratrix

PUMP

Power Under Multiplicity Project

Kristen Hunter

Zarni Htet

Kristin Porter

MDRC 

Institute of Education Sciences 

get_adjp_minp function

<dl><dt>ind.B</dt>
<dd>matrix of indicator variables for 
if each raw test statistic exceeds
the null test statistics. 
dimensions: nrow = tnum, ncol = M.</dd>
<dt>rawp.order</dt>
<dd>order of raw p-values in ascending order</dd></dl>

Arguments

Helper function for Westfall Young — get_adjp_minp

<dl>

<dt>ind.B</dt>
<dd>matrix of indicator variables for 
if each raw test statistic exceeds
the null test statistics. 
dimensions: nrow = tnum, ncol = M.</dd>


<dt>rawp.order</dt>
<dd>order of raw p-values in ascending order</dd>

</dl>

get_adjp_minp: Helper function for Westfall Young

Description

Usage

Value

Arguments