simsem (version 0.2-8)

findFactorResidualVar: Find factor residual variances from regression coefficient matrix, factor (residual) correlations, and total factor variances

Description

Find factor residual variances from regression coefficient matrix, factor (residual) correlation matrix, and total factor variances for latent variable models. In the path analysis model, this function will find indicator residual variances from regression coefficient, indicator (residual) correlation matrix, and total indicator variances.

Usage

findFactorResidualVar(beta, corPsi, totalVarPsi = NULL)

Arguments

beta

Regression coefficient matrix

corPsi

Factor or indicator residual correlations.

totalVarPsi

Factor or indicator total variances. The default is that all factor or indicator total variances are 1.

Value

• A vector of factor (indicator) residual variances

See Also

• findIndInterceptto find indicator (measurement) intercepts
• findIndMeanto find indicator (measurement) total means
• findIndResidualVarto find indicator (measurement) residual variances
• findIndTotalVarto find indicator (measurement) total variances
• findFactorInterceptto find factor intercepts
• findFactorMeanto find factor means
• findFactorTotalVarto find factor total variances
• findFactorTotalCovto find factor covariances

Examples

path <- matrix(0, 9, 9)
path[4, 1] <- path[7, 4] <- 0.6
path[5, 2] <- path[8, 5] <- 0.6
path[6, 3] <- path[9, 6] <- 0.6
path[5, 1] <- path[8, 4] <- 0.4
path[6, 2] <- path[9, 5] <- 0.4
facCor <- diag(9)
facCor[1, 2] <- facCor[2, 1] <- 0.4
facCor[1, 3] <- facCor[3, 1] <- 0.4
facCor[2, 3] <- facCor[3, 2] <- 0.4
totalVar <- rep(1, 9)
findFactorResidualVar(path, facCor, totalVar)