GP.csh

An EM algorithm, Karl et al. (2013) <doi:10.1016/j.csda.2012.10.004>, is used to estimate the generalized, variable, and complete persistence models, Mariano et al. (2010) <doi:10.3102/1076998609346967>. These are multiple-membership linear mixed models with teachers modeled as "G-side" effects and students modeled with either "G-side" or "R-side" effects.

Andrew T Karl

GPvam

Maximum Likelihood Estimation of Multiple Membership Mixed
Models Used in Value-Added Modeling

Andrew Karl

Yan Yang

Sharon Lohr

GP.csh function

<dl> <dt>Z_mat</dt>
<dd>data frame</dd> <dt>fixed_effects</dt>
<dd>formula specifying fixed effects to be included in model</dd><dt>control</dt>
<dd>a list</dd></dl>

Arguments

Internal G-side effects function — GP.csh

<dl>

 <dt>Z_mat</dt>
<dd>data frame</dd>

 <dt>fixed_effects</dt>
<dd>formula specifying fixed effects to be included in model</dd>

<dt>control</dt>
<dd>a list</dd>

</dl>

GP.csh: Internal G-side effects function

Description

Usage

Arguments