gss2016

Limited date from the 2016 General Social Survey on respondent and paternal class and occupational classifications.

datasets

Several functions for working with mixed effects regression models for limited dependent variables. The functions facilitate post-estimation of model predictions or margins, and comparisons between model predictions for assessing or probing moderation. Additional helper functions facilitate model comparisons and implements simulation-based inference for model predictions of alternative-specific outcome models. See also, Melamed and Doan (2024, ISBN: 978-1032509518).

David Melamed

catregs

Post-Estimation Functions for Generalized Linear Mixed Models

gss2016 function

A data frame with 12498 observations on the following 13 variables.<dl>
 <dt><code>pclass</code></dt>
<dd>a factor with levels <code>Unskilled Manual</code> <code>Skilled Manual</code> <code>Self-Employed</code> <code>Non-Manual/Service</code> <code>Professional, Lower</code> <code>Professional, Higher</code></dd> <dt><code>sclass</code></dt>
<dd>a factor with levels <code>Unskilled Manual</code> <code>Skilled Manual</code> <code>Self-Employed</code> <code>Non-Manual/Service</code> <code>Professional, Lower</code> <code>Professional, Higher</code></dd> <dt><code>educ</code></dt>
<dd>a numeric vector</dd> <dt><code>race</code></dt>
<dd>a character vector</dd> <dt><code>id</code></dt>
<dd>a numeric vector</dd> <dt><code>occ2</code></dt>
<dd>a character vector</dd> <dt><code>occ</code></dt>
<dd>a numeric vector</dd> <dt><code>unskmanual</code></dt>
<dd>a numeric vector</dd> <dt><code>skmanual</code></dt>
<dd>a numeric vector</dd> <dt><code>selfemp</code></dt>
<dd>a numeric vector</dd> <dt><code>service</code></dt>
<dd>a numeric vector</dd> <dt><code>proflow</code></dt>
<dd>a numeric vector</dd> <dt><code>profhigh</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Data from the 2016 General Social Survey. — gss2016

A data frame with 12498 observations on the following 13 variables.<dl>
 <dt><code>pclass</code></dt>
<dd>a factor with levels <code>Unskilled Manual</code> <code>Skilled Manual</code> <code>Self-Employed</code> <code>Non-Manual/Service</code> <code>Professional, Lower</code> <code>Professional, Higher</code></dd>

 <dt><code>sclass</code></dt>
<dd>a factor with levels <code>Unskilled Manual</code> <code>Skilled Manual</code> <code>Self-Employed</code> <code>Non-Manual/Service</code> <code>Professional, Lower</code> <code>Professional, Higher</code></dd>

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

 <dt><code>race</code></dt>
<dd>a character vector</dd>

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

 <dt><code>occ2</code></dt>
<dd>a character vector</dd>

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

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

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

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

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

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

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

 
</dl>

gss2016: Data from the 2016 General Social Survey.

Description

Usage

Arguments

Format

Examples