prepare_prediction_matrix

Prepare design matrix for prediction

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_prediction_matrix function

<dl><dt>object</dt>
<dd>A clmstan object</dd>
<dt>newdata</dt>
<dd>Data frame for prediction</dd></dl>

Arguments

Prepare design matrix for prediction — prepare_prediction_matrix

<dl>

<dt>object</dt>
<dd>A clmstan object</dd>


<dt>newdata</dt>
<dd>Data frame for prediction</dd>

</dl>

prepare_prediction_matrix: Prepare design matrix for prediction

Description

Usage

Value

Arguments