predict.SLCARE

Calculate the posterior predicted number of recurrent events.

Efficient R package for latent class analysis of recurrent events, based on the semiparametric multiplicative intensity model by Zhao et al. (2022) <doi:10.1111/rssb.12499>. SLCARE returns estimates for non-functional model parameters along with the associated variance estimates and p-values. Visualization tools are provided to depict the estimated functional model parameters and related functional quantities of interest. SLCARE also delivers a model checking plot to help assess the adequacy of the fitted model.

Qi Yu

SLCARE

Semiparametric Latent Class Analysis of Recurrent Events

Limin Peng

predict.SLCARE function

<dl><dt>object</dt>
<dd>an object of class <code>SLCARE</code>.</dd>
<dt>integer</dt>
<dd>logicals. If <code>FALSE</code> (the default value), the function returns to float numbers.</dd>
<dt>...</dt>
<dd>other arguments.</dd></dl>

Arguments

Predict Results for SLCARE — predict.SLCARE

<dl>

<dt>object</dt>
<dd>an object of class <code>SLCARE</code>.</dd>


<dt>integer</dt>
<dd>logicals. If <code>FALSE</code> (the default value), the function returns to float numbers.</dd>


<dt>...</dt>
<dd>other arguments.</dd>

</dl>

predict.SLCARE: Predict Results for SLCARE

Description

Usage

Arguments

See Also