Description Usage Arguments Value Author(s) See Also Examples
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.
1 
beta 
Regression coefficient matrix among factors 
corPsi 
Factor or indicator residual correlations. 
totalVarPsi 
Factor or indicator total variances. The default is that all factor or indicator total variances are 1. 
gamma 
Regression coefficient matrix from covariates (column) to factors (rows) 
covcov 
A covariance matrix among covariates 
A vector of factor (indicator) residual variances
Sunthud Pornprasertmanit ([email protected])
findIndIntercept
to find indicator (measurement) intercepts
findIndMean
to find indicator (measurement) total means
findIndResidualVar
to find indicator (measurement) residual variances
findIndTotalVar
to find indicator (measurement) total variances
findFactorIntercept
to find factor intercepts
findFactorMean
to find factor means
findFactorTotalVar
to find factor total variances
findFactorTotalCov
to find factor covariances
1 2 3 4 5 6 7 8 9 10 11 12  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)

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