Find indicator total means from factor loading matrix, total factor mean, and indicator intercept.
Find indicator total means from a factor loading matrix, total factor means, and indicator (measurement) intercepts.
findIndMean(lambda, factorMean = NULL, tau = NULL, kappa = NULL, covmean = NULL)
lambda |
Factor loading matrix |
factorMean |
Total (model-implied) mean of factors. As a default, all total factor means are 0. |
tau |
Indicator (measurement) intercepts. As a default, all intercepts are 0. |
kappa |
Regression coefficient matrix from covariates (column) to indicators (rows) |
covmean |
A vector of covariate means. |
A vector of indicator total means.
Sunthud Pornprasertmanit (psunthud@gmail.com)
findIndIntercept to find indicator (measurement) intercepts
findIndResidualVar to find indicator (measurement) residual variances
findIndTotalVar to find indicator (measurement) total variances
findFactorIntercept to find factor intercepts
findFactorMean to find factor means
findFactorResidualVar to find factor residual variances
findFactorTotalVar to find factor total variances
findFactorTotalCov to find factor covariances
loading <- matrix(0, 6, 2) loading[1:3, 1] <- c(0.6, 0.7, 0.8) loading[4:6, 2] <- c(0.6, 0.7, 0.8) facMean <- c(0.5, 0.2) intcept <- rep(0, 6) findIndMean(loading, facMean, intcept)
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