Description Usage Arguments Value Author(s) See Also Examples
Find factor intercept from regression coefficient matrix and factor total means for latent variable models. In the path analysis model, this function will find indicator intercept from regression coefficient and indicator total means.
1 
beta 
Regression coefficient matrix among factors 
factorMean 
A vector of total (modelimplied) factor (indicator) means. The default is that all total factor means are 0. 
gamma 
Regression coefficient matrix from covariates (column) to factors (rows) 
covmean 
A vector of covariate means. 
A vector of factor (indicator) intercepts
Sunthud Pornprasertmanit (psunthud@gmail.com)
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
findFactorMean
to find factor means
findFactorResidualVar
to find factor residual variances
findFactorTotalVar
to find factor total variances
findFactorTotalCov
to find factor covariances
1 2 3 4 5 6 7 8  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
factorMean < c(5, 2, 3, 0, 0, 0, 0, 0, 0)
findFactorIntercept(path, factorMean)

Loading required package: lavaan
This is lavaan 0.523.1097
lavaan is BETA software! Please report any bugs.
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This is simsem 0.513
simsem is BETA software! Please report any bugs.
simsem was developed at the University of Kansas Center for Research Methods and Data Analysis.
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[1] 5.0 2.0 3.0 3.0 3.2 2.6 0.0 0.0 0.0
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