get_rawpt

Fits models to each of a series of datasets, and extracts p values
and t statistics

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_rawpt function

<dl><dt>dat.all</dt>
<dd>list of datasets (of length M)</dd>
<dt>d_m</dt>
<dd>design/model</dd>
<dt>model.params.list</dt>
<dd>list of model parameters</dd></dl>

Arguments

Function: get_rawpt — get_rawpt

<dl>

<dt>dat.all</dt>
<dd>list of datasets (of length M)</dd>


<dt>d_m</dt>
<dd>design/model</dd>


<dt>model.params.list</dt>
<dd>list of model parameters</dd>

</dl>

get_rawpt: Function: get_rawpt

Description

Usage

Arguments