StatsOutput-class

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

StatsOutput-class function

<dl>
<dt><code>wald</code></dt>
<dd>A data frame for p values and Wald confidence intervals (when specified).</dd></dl>
<dt><code>likelihood</code></dt>
<dd>A data frame for Likelihood confidence intervals (when specified).</dd>
<dt><code>bootstrap</code></dt>
<dd>A data frame for Bootstrap confidence intervals (when specified).</dd>

Slots

S4 Class for p values and confidence intervals (when specified). — StatsOutput-class

<dl>
<dt><code>wald</code></dt>
<dd>A data frame for p values and Wald confidence intervals (when specified).</dd>


<dt><code>likelihood</code></dt>
<dd>A data frame for Likelihood confidence intervals (when specified).</dd>


<dt><code>bootstrap</code></dt>
<dd>A data frame for Bootstrap confidence intervals (when specified).</dd>


</dl>

StatsOutput-class: S4 Class for p values and confidence intervals (when specified).

Description

Arguments

Slots