bivariateLgcm: Bivariate Latent Growth Curve Model

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

Bivariate Latent Growth Curve Model

Description

Bivariate Latent Growth Curve Model

Usage

bivariateLgcm(lgcm.x, lgcm.y, slope.x.slope.y.covariance = 0,
  icept.x.slope.y.covariance = 0, icept.y.slope.x.covariance = 0,
  icept.x.icept.y.covariance = 0, latent.correlations = FALSE)

Arguments

lgcm.x	LGCM object for first process (refered to as x)
lgcm.y	LGCM object for second process (refered to as y)
slope.x.slope.y.covariance	Latent covariance of slope of x and slope of y
icept.x.slope.y.covariance	Latent covariance of intercept of x and slope of y
icept.y.slope.x.covariance	Latent covariance of slope of x and intercept of y
icept.x.icept.y.covariance	Latent covariance of intercept of x and intercept of y
latent.correlations	Specify a latent correlation matrix instead of a covariance matrix.

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