movie

Movie critics of the Variety magazine. The data were
 previously used to fit adjacent-categories mixed models by Hartzl et
 al. (2001)

datasets

Recursive partitioning for varying coefficient generalized linear models and ordinal linear mixed models. Special features are coefficient-wise partitioning, non-varying coefficients and partitioning of time-varying variables in longitudinal regression. A description of a part of this package was published by Burgin and Ritschard (2017) <doi:10.18637/jss.v080.i06>.

Reto Buergin

vcrpart

Tree-Based Varying Coefficient Regression for Generalized Linear
and Ordinal Mixed Models

Reto Burgin

Gilbert Ritschard

movie function

A data frame with 372 observations on 93 movies. Three vectors contain
 information on<dl>
 <dt><code>movie</code></dt>
<dd>movie ID.</dd> <dt><code>critic</code></dt>
<dd>ordinal response on a 3 category scale, "Con" &lt;
 "Mixed" &lt; "Pro".</dd>
 
 <dt><code>review</code></dt>
<dd>critics, "Medved", "Ebert", "Siskel" and
 "Medved".</dd>
 
 
</dl>

Format

Movie critics — movie

A data frame with 372 observations on 93 movies. Three vectors contain
 information on<dl>
 <dt><code>movie</code></dt>
<dd>movie ID.</dd>

 <dt><code>critic</code></dt>
<dd>ordinal response on a 3 category scale, "Con" &lt;
 "Mixed" &lt; "Pro".</dd>
 
 <dt><code>review</code></dt>
<dd>critics, "Medved", "Ebert", "Siskel" and
 "Medved".</dd>
 
 
</dl>

movie: Movie critics

Description

Usage

Arguments

Format

References