A national longitudinal survey of of students from public and private high
schools in the United States, with information such as students' cognitive
and non-cognitive skills, high school experiences, work experiences and
future plans collected.

datasets

Provides methods to perform and analyse I-prior regression models.
Estimation is done either via direct optimisation of the log-likelihood or
an EM algorithm.

Haziq Jamil

iprior

Regression Modelling using I-Priors

hsb function

A data frame of 7185 observations on 3 variables.<dl>
 <dt><code>mathach</code></dt>
<dd>Math achievement.</dd>
 <dt><code>ses</code></dt>
<dd>Socio-Economic
 status.</dd>
 <dt><code>schoolid</code></dt>
<dd>Categorical variable indicating the school
 the student went to. Treated as <code><a href="/link/factor?package=iprior&version=0.7.4" data-mini-rdoc="iprior::factor">factor</a></code>.</dd>
 
</dl>

Format

High school and beyond dataset — hsb

A data frame of 7185 observations on 3 variables.<dl>
 <dt><code>mathach</code></dt>
<dd>Math achievement.</dd>
 <dt><code>ses</code></dt>
<dd>Socio-Economic
 status.</dd>
 <dt><code>schoolid</code></dt>
<dd>Categorical variable indicating the school
 the student went to. Treated as <code><a href='https://rdrr.io/r/base/factor.html'>factor</a></code>.</dd>
 
</dl>

hsb: High school and beyond dataset

Description

Usage

Arguments

Format

References

Examples