printTable,KappaOutput-method

Method for printing kappa statistic with $95%$ CI and judgement for agreement.

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

printTable,KappaOutput-method function

<dl><dt>object</dt>
<dd>An object of class "KappaOutput".</dd></dl>

Arguments

S4 Method for printing kappa statistic with $95%$ CI and judgement for agreement. — printTable,KappaOutput-method

<dl>

<dt>object</dt>
<dd>An object of class "KappaOutput".</dd>

</dl>

printTable,KappaOutput-method: S4 Method for printing kappa statistic with $95%$ CI and judgement for agreement.

Description

Usage

Arguments