KYPSsim

A simulated dataset that replicates the dataset from KYPS.

datasets

Utilizes the 'lme4' and 'optimx' packages (previously the optim()
function from 'stats') to estimate (generalized) linear mixed models (GLMM)
with factor structures using a profile likelihood approach, as outlined in
Jeon and Rabe-Hesketh (2012) <doi:10.3102/1076998611417628> and
Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>.
Factor analysis and item response models can be extended to allow
for an arbitrary number of nested and crossed random effects,
making it useful for multilevel and cross-classified models.

Nicholas Rockwood

PLmixed

Estimate (Generalized) Linear Mixed Models with Factor
Structures

Minjeong Jeon

KYPSsim function

A data frame with 11494 rows and 5 variables:<dl>
 <dt>mid</dt>
<dd>Middle School ID</dd> <dt>hid</dt>
<dd>High School ID</dd> <dt>sid</dt>
<dd>Student ID</dd> <dt>time</dt>
<dd>Time Identifier</dd> <dt>esteem</dt>
<dd>Self Esteem</dd>
</dl>

Format

Simulated KYPS dataset. — KYPSsim

A data frame with 11494 rows and 5 variables:<dl>
 <dt>mid</dt>
<dd>Middle School ID</dd>

 <dt>hid</dt>
<dd>High School ID</dd>

 <dt>sid</dt>
<dd>Student ID</dd>

 <dt>time</dt>
<dd>Time Identifier</dd>

 <dt>esteem</dt>
<dd>Self Esteem</dd>


</dl>

KYPSsim: Simulated KYPS dataset.

Description

Usage

Arguments

Format