find_best

Extract roots from power curve fit to given evaluated points

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 

find_best function

<dl><dt>test.pts</dt>
<dd>power evaluated at different points</dd>
<dt>target.power</dt>
<dd>goal power</dd>
<dt>gamma</dt>
<dd>Number &gt; 1. The amount we can extend our search range up (gamma)
or down (1/gamma) if we want to search outside our current boundaries. 1
means do not extend (which will potentially cause search to stall, not
recommended).</dd></dl>

Arguments

Determine next point to check for correct power level. — find_best

<dl>

<dt>test.pts</dt>
<dd>power evaluated at different points</dd>


<dt>target.power</dt>
<dd>goal power</dd>


<dt>gamma</dt>
<dd>Number &gt; 1. The amount we can extend our search range up (gamma)
or down (1/gamma) if we want to search outside our current boundaries. 1
means do not extend (which will potentially cause search to stall, not
recommended).</dd>

</dl>

find_best: Determine next point to check for correct power level.

Description

Usage

Value

Arguments