popDiscrepancy: Find the discrepancy value between two means and covariance...

In simsem: SIMulated Structural Equation Modeling

Description

Find the discrepancy value between two means and covariance matrices. See the definition of each index at summaryMisspec.

Usage

popDiscrepancy(paramM, paramCM, misspecM, misspecCM)

Arguments

paramM	The model-implied mean from the real parameters
paramCM	The model-implied covariance matrix from the real parameters
misspecM	The model-implied mean from the real and misspecified parameters
misspecCM	The model-implied covariance matrix from the real and misspecified parameters

Value

The discrepancy between two means and covariance matrices

Author(s)

Sunthud Pornprasertmanit ([e-mail])

References

Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230-258.

Examples

m1 <- rep(0, 3)
m2 <- c(0.1, -0.1, 0.05)
S1 <- matrix(c(1, 0.6, 0.5, 0.6, 1, 0.4, 0.5, 0.4, 1), 3, 3)
S2 <- matrix(c(1, 0.55, 0.55, 0.55, 1, 0.55, 0.55, 0.55, 1), 3, 3)
popDiscrepancy(m1, S1, m2, S2)

simsem documentation built on March 29, 2021, 1:07 a.m.