count.excellent

Counts number of excellent fit indices

internal

Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.

KM Gates

gimme

Group Iterative Multiple Model Estimation

count.excellent function

<dl><dt>indices</dt>
<dd>A vector of fit indices from lavaan.</dd></dl>

Arguments

Counts number of excellent fit indices — count.excellent

<dl>

<dt>indices</dt>
<dd>A vector of fit indices from lavaan.</dd>

</dl>

count.excellent: Counts number of excellent fit indices

Description

Usage

Value

Arguments