loggamma_cdf

Based on the log-gamma distribution:<ul>
<li>lambda = 0: probit (normal)</li>
<li>lambda &gt; 0: F(x) = pgamma(exp(x), shape = lambda, rate = lambda)</li>
<li>lambda &lt; 0: F(x) = 1 - pgamma(exp(-x), shape = -lambda, rate = -lambda)</li>
</ul>

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'

loggamma_cdf function

<dl><dt>x</dt>
<dd>Numeric vector</dd>
<dt>lambda</dt>
<dd>Shape parameter</dd></dl>

Arguments

Log-gamma link CDF — loggamma_cdf

<dl>

<dt>x</dt>
<dd>Numeric vector</dd>


<dt>lambda</dt>
<dd>Shape parameter</dd>

</dl>

loggamma_cdf: Log-gamma link CDF

Description

Usage

Value

Arguments

Details