clmstan-class

The <code>clmstan</code> class represents a fitted cumulative link model.
It contains the CmdStanR fit object and additional metadata.

Fits cumulative link models (CLMs) for ordinal categorical data
using 'CmdStanR'. Supports various link functions including logit, probit,
cloglog, loglog, cauchit, and flexible parametric links such as
Generalized Extreme Value (GEV), Asymmetric Exponential Power (AEP),
and Symmetric Power. Models are pre-compiled using the 'instantiate'
package for fast execution without runtime compilation. Methods are
described in Agresti (2010, ISBN:978-0-470-08289-8),
Wang and Dey (2011) <doi:10.1007/s10651-010-0154-8>, and
Naranjo, Perez, and Martin (2015) <doi:10.1007/s11222-014-9449-1>.

Tomotaka Momozaki

clmstan

Cumulative Link Models with 'CmdStanR'

clmstan-class function

<dl>
<dt>fit</dt>
<dd>The CmdStanMCMC object from cmdstanr</dd></dl><dt>formula</dt>
<dd>The model formula</dd><dt>data</dt>
<dd>The original data frame</dd><dt>link</dt>
<dd>The link function used</dd><dt>base</dt>
<dd>The base distribution (for SP link)</dd><dt>threshold</dt>
<dd>The threshold structure</dd><dt>link_param</dt>
<dd>Link parameter settings (for flexible links)</dd><dt>full</dt>
<dd>TRUE if link parameters were estimated (Bayesian inference),
FALSE if they were fixed at user-specified values</dd><dt>K</dt>
<dd>Number of response categories (cached from data)</dd><dt>N</dt>
<dd>Number of observations (extracted from data for efficiency)</dd><dt>P</dt>
<dd>Number of predictors (extracted from design matrix)</dd>

Slots

clmstan S3 Class — clmstan-class

<dl>
<dt>fit</dt>
<dd>The CmdStanMCMC object from cmdstanr</dd>

<dt>formula</dt>
<dd>The model formula</dd>

<dt>data</dt>
<dd>The original data frame</dd>

<dt>link</dt>
<dd>The link function used</dd>

<dt>base</dt>
<dd>The base distribution (for SP link)</dd>

<dt>threshold</dt>
<dd>The threshold structure</dd>

<dt>link_param</dt>
<dd>Link parameter settings (for flexible links)</dd>

<dt>full</dt>
<dd>TRUE if link parameters were estimated (Bayesian inference),
FALSE if they were fixed at user-specified values</dd>

<dt>K</dt>
<dd>Number of response categories (cached from data)</dd>

<dt>N</dt>
<dd>Number of observations (extracted from data for efficiency)</dd>

<dt>P</dt>
<dd>Number of predictors (extracted from design matrix)</dd>


</dl>

clmstan-class: clmstan S3 Class

Description

Arguments

Slots