simsem (version 0.2-8)

createImpliedMACS: Create model implied mean vector and covariance matrix

Description

Create model implied mean vector and covariance matrix from a set of parameter values

Usage

createImpliedMACS(object, ...)

Arguments

object

A matrix set containing values of parameters

...

Other objects, such as adding the parameter of model misspecification in the data output object

Value

• A list with (a) M for a model-implied mean vector and (b) CM for a model-implied covariance matrix

Examples

loading <- matrix(0, 6, 2)
loading[1:3, 1] <- NA
loading[4:6, 2] <- NA
loadingValues <- matrix(0, 6, 2)
loadingValues[1:3, 1] <- 0.7
loadingValues[4:6, 2] <- 0.7
LX <- simMatrix(loading, loadingValues)
latent.cor <- matrix(NA, 2, 2)
diag(latent.cor) <- 1
RPH <- symMatrix(latent.cor, 0.5)
error.cor <- matrix(0, 6, 6)
diag(error.cor) <- 1
RTD <- symMatrix(error.cor)
CFA.Model <- simSetCFA(LY = LX, RPS = RPH, RTE = RTD)
param <- run(CFA.Model)
createImpliedMACS(param)