prepare_stan_data_dispatch

Routes to the correct prepare function based on threshold structure
and whether link parameters are being estimated.

internal

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'

prepare_stan_data_dispatch function

<dl><dt>formula</dt>
<dd>A formula specifying the model</dd>
<dt>data</dt>
<dd>A data frame containing the variables</dd>
<dt>link</dt>
<dd>Link function name</dd>
<dt>base</dt>
<dd>Base distribution for SP link</dd>
<dt>link_param</dt>
<dd>A list of link parameters</dd>
<dt>threshold</dt>
<dd>Threshold structure</dd>
<dt>full</dt>
<dd>Whether to use full model (estimate link parameters)</dd>
<dt>prior</dt>
<dd>A clm_prior object or NULL for default priors</dd></dl>

Arguments

Dispatch to appropriate data preparation function — prepare_stan_data_dispatch

<dl>

<dt>formula</dt>
<dd>A formula specifying the model</dd>


<dt>data</dt>
<dd>A data frame containing the variables</dd>


<dt>link</dt>
<dd>Link function name</dd>


<dt>base</dt>
<dd>Base distribution for SP link</dd>


<dt>link_param</dt>
<dd>A list of link parameters</dd>


<dt>threshold</dt>
<dd>Threshold structure</dd>


<dt>full</dt>
<dd>Whether to use full model (estimate link parameters)</dd>


<dt>prior</dt>
<dd>A clm_prior object or NULL for default priors</dd>

</dl>

prepare_stan_data_dispatch: Dispatch to appropriate data preparation function

Description

Usage

Value

Arguments