postOutput-class

S4 Class for the output structure for the <code>getPosterior()</code> function.

Provides computational tools for nonlinear longitudinal models, in particular the intrinsically nonlinear models, in four scenarios: (1) univariate longitudinal processes with growth factors, with or without covariates including time-invariant covariates (TICs) and time-varying covariates (TVCs); (2) multivariate longitudinal processes that facilitate the assessment of correlation or causation between multiple longitudinal variables; (3) multiple-group models for scenarios (1) and (2) to evaluate differences among manifested groups, and (4) longitudinal mixture models for scenarios (1) and (2), with an assumption that trajectories are from multiple latent classes. The methods implemented are introduced in Jin Liu (2023) <arXiv:2302.03237v2>.

Jin Liu

nlpsem

Linear and Nonlinear Longitudinal Process in Structural Equation
Modeling Framework

postOutput-class function

<dl>
<dt><code>prob</code></dt>
<dd>A matrix of posterior probabilities.</dd></dl>
<dt><code>membership</code></dt>
<dd>A numeric vector for membership.</dd>
<dt><code>entropy</code></dt>
<dd>A numeric value for entropy.</dd>
<dt><code>accuracy</code></dt>
<dd>A numeric value for accuracy.</dd>

Slots

S4 Class for posterior probabilities, membership, entropy, and accuracy (when applicable) — postOutput-class

<dl>
<dt><code>prob</code></dt>
<dd>A matrix of posterior probabilities.</dd>


<dt><code>membership</code></dt>
<dd>A numeric vector for membership.</dd>


<dt><code>entropy</code></dt>
<dd>A numeric value for entropy.</dd>


<dt><code>accuracy</code></dt>
<dd>A numeric value for accuracy.</dd>


</dl>

postOutput-class: S4 Class for posterior probabilities, membership, entropy, and accuracy (when applicable)

Description

Arguments

Slots