datasets

By adding over-relaxation factor to PXEM (Parameter Expanded Expectation Maximization) method, the MOPXEM (Monotonically Overrelaxed Parameter Expanded Expectation Maximization) method is obtained. Compare it with the existing EM (Expectation-Maximization)-like methods. Then, distribute and process five methods and compare them, achieving good performance in convergence speed and result quality.The philosophy of the package is described in Guo G. (2022) <doi:10.1007/s00180-022-01270-z>.

Guangbao Guo

DIRMR

Distributed Imputation for Random Effects Models with Missing
Responses

Yaping Li

df1 function

A data frame with 2000 observations on the following 7 variables.<dl>
 <dt><code>PUPIL</code></dt>
<dd>a numeric vector</dd> <dt><code>SCHOOL</code></dt>
<dd>a numeric vector</dd> <dt><code>POPULAR</code></dt>
<dd>a numeric vector</dd> <dt><code>SEX</code></dt>
<dd>a numeric vector</dd> <dt><code>TEXP</code></dt>
<dd>a numeric vector</dd> <dt><code>CONST</code></dt>
<dd>a numeric vector</dd> <dt><code>TEACHPOP</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Hox pupil popularity data with missing popularity scores — df1

A data frame with 2000 observations on the following 7 variables.<dl>
 <dt><code>PUPIL</code></dt>
<dd>a numeric vector</dd>

 <dt><code>SCHOOL</code></dt>
<dd>a numeric vector</dd>

 <dt><code>POPULAR</code></dt>
<dd>a numeric vector</dd>

 <dt><code>SEX</code></dt>
<dd>a numeric vector</dd>

 <dt><code>TEXP</code></dt>
<dd>a numeric vector</dd>

 <dt><code>CONST</code></dt>
<dd>a numeric vector</dd>

 <dt><code>TEACHPOP</code></dt>
<dd>a numeric vector</dd>

 
</dl>

df1: Hox pupil popularity data with missing popularity scores

Description

Usage

Arguments

Format

Details

References

Examples