simDataLV

<p>This object contains a list of simulated time series data for twenty individuals 
with 500 time points and 9 variables, or regions of interest.</p>

datasets

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

simDataLV function

<p>A list of data frames with 20 individuals, who each have 500 observations on 9 variables.</p>

simDataLV: Latent variable example, heterogeneous data, group, subgroup level effects.

Description

Usage

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Format