simbinom

A data set with simulated data from 
a mixture of a logistic regression.

data

A generic function for running the Expectation-Maximization (EM) algorithm
within a maximum likelihood framework, based on Dempster, Laird, and Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x>
is implemented. It can be applied after a model fitting using R's existing functions and packages.

Dongjie Wu

Generic EM Algorithm

simbinom function

A data frame with 10000 rows and 2 variables:<dl>
 <dt>y</dt>
<dd>A dependent variable generated from a mixture of 
 a logistic regression with x</dd> <dt>x</dt>
<dd>An independent variable</dd>
</dl>

Format

Simulated Data from a logistic regression — simbinom

A data frame with 10000 rows and 2 variables:<dl>
 <dt>y</dt>
<dd>A dependent variable generated from a mixture of 
 a logistic regression with x</dd>

 <dt>x</dt>
<dd>An independent variable</dd>


</dl>

simbinom: Simulated Data from a logistic regression

Description

Usage

Arguments

Format