lgcm: Create a latent growth curve model

In brandmaier/semper: Structural Equation Modeling, power, effect size, and reliability

Create a latent growth curve model

Description

This function creates a lgcm object representing a linear latent growth curve model

Usage

lgcm(timepoints = 0, intercept.variance = 0, slope.variance = 0,
  residual.variance = 0, intercept.slope.covariance = 0, sample.size = 0,
  intercept.mean = 0, slope.mean = 0)

Arguments

timepoints	Vector of time points of measurement occasions
intercept.variance	Individual differences in intercept
slope.variance	Individual differences in slopes
residual.variance	Residual variance or inverse of the precision of measurement
intercept.slope.covariance	The covariance between latent intercept and latent slope
sample.size	Number of cases
intercept.mean	Mean of the latent intercept (average score at intercept)
slope.mean	Mean of the latent slope (average linear rate of change)

brandmaier/semper documentation built on April 20, 2024, 4:23 p.m.