print.GPvam

print.summary.GPvam

Prints names of elements in GPvam object.

print

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

print function

<dl> <dt>x</dt>
<dd>object of class GPvam</dd> <dt>...</dt>
<dd>other arguments to be passed to summary</dd></dl>

Arguments

Print — print

<dl>

 <dt>x</dt>
<dd>object of class GPvam</dd>

 <dt>...</dt>
<dd>other arguments to be passed to summary</dd>

</dl>

print: Print

Description

Usage

Arguments