plot_power_search

This will give triple-plots about 
how the search narrowed down into the
final estimate. Can be useful to gauge where 
convergence went poorly.

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 

plot_power_search function

<dl><dt>pwr</dt>
<dd>pumpresult object; result from a 
pump_sample or pump_mdes call.</dd>
<dt>fit</dt>
<dd>a fitted curve to the search.</dd>
<dt>target.line</dt>
<dd>scalar; if non-NULL, add a reference line 
for the true power (if known, e.g., from a pump_power call).</dd></dl>

Arguments

Examine search path of a power search (result function) — plot_power_search

<dl>

<dt>pwr</dt>
<dd>pumpresult object; result from a 
pump_sample or pump_mdes call.</dd>


<dt>fit</dt>
<dd>a fitted curve to the search.</dd>


<dt>target.line</dt>
<dd>scalar; if non-NULL, add a reference line 
for the true power (if known, e.g., from a pump_power call).</dd>

</dl>

plot_power_search: Examine search path of a power search (result function)

Description

Usage

Value

Arguments