gen_RE_cov_matrix

generate a parameterized covariance matrix from the provided 3 blocks

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 

gen_RE_cov_matrix function

<dl><dt>Sigma.w</dt>
<dd>level 3 covariance matrix</dd>
<dt>Sigma.z</dt>
<dd>level 2 covariance matrix</dd>
<dt>Sigma.wz</dt>
<dd>covariance between level 2 and level 3</dd></dl>

Arguments

generate a parameterized covariance matrix from the provided 3 blocks — gen_RE_cov_matrix

<dl>

<dt>Sigma.w</dt>
<dd>level 3 covariance matrix</dd>


<dt>Sigma.z</dt>
<dd>level 2 covariance matrix</dd>


<dt>Sigma.wz</dt>
<dd>covariance between level 2 and level 3</dd>

</dl>

gen_RE_cov_matrix: generate a parameterized covariance matrix from the provided 3 blocks

Description

Usage

Value

Arguments