prepare_stan_data

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 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>link_param</dt>
<dd>A list of link parameters (for flexible links)</dd>
<dt>prior_beta_sd</dt>
<dd>Prior SD for regression coefficients (default: 2.5)</dd>
<dt>prior_c_sd</dt>
<dd>Prior SD for cutpoints (default: 10)</dd></dl>

Arguments

Prepare data for Stan model — prepare_stan_data

<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>link_param</dt>
<dd>A list of link parameters (for flexible links)</dd>


<dt>prior_beta_sd</dt>
<dd>Prior SD for regression coefficients (default: 2.5)</dd>


<dt>prior_c_sd</dt>
<dd>Prior SD for cutpoints (default: 10)</dd>

</dl>

prepare_stan_data: Prepare data for Stan model

Description

Usage

Value

Arguments