Find factor intercept from regression coefficient matrix and factor total means
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.
findFactorIntercept(beta, factorMean = NULL, gamma = NULL, covmean = NULL)
beta |
Regression coefficient matrix among factors |
factorMean |
A vector of total (model-implied) 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
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)
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