KappaOutput-class

S4 Class for the output structure for the <code>getLatentKappa()</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

KappaOutput-class function

<dl>
<dt><code>kappa_value</code></dt>
<dd>A character vector for the kappa statistic with $95%$ CI.</dd></dl>
<dt><code>judgment</code></dt>
<dd>A character vector for the judgement for agreement.</dd>

Slots

S4 Class for kappa statistic with confidence interval and judgment. — KappaOutput-class

<dl>
<dt><code>kappa_value</code></dt>
<dd>A character vector for the kappa statistic with $95%$ CI.</dd>


<dt><code>judgment</code></dt>
<dd>A character vector for the judgement for agreement.</dd>


</dl>

KappaOutput-class: S4 Class for kappa statistic with confidence interval and judgment.

Description

Arguments

Slots