Find indicator intercepts from factor loading matrix, total factor mean, and indicator mean.
Find indicator (measurement) intercepts from a factor loading matrix, total factor mean, and indicator mean.
findIndIntercept(lambda, factorMean = NULL, indicatorMean = 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. |
indicatorMean |
Total indicator means. As a default, all total indicator means are 0. |
kappa |
Regression coefficient matrix from covariates (column) to indicators (rows) |
covmean |
A vector of covariate means. |
A vector of indicator (measurement) intercepts.
Sunthud Pornprasertmanit (psunthud@gmail.com)
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
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) indMean <- rep(1, 6) findIndIntercept(loading, facMean, indMean)
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