findFactorIntercept {simsem}

Find factor intercept from regression coefficient matrix and factor total means

Description

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.

Usage

findFactorIntercept(beta, factorMean = NULL, gamma = NULL, covmean = NULL)

Arguments

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.

Value

A vector of factor (indicator) intercepts

Author(s)

Sunthud Pornprasertmanit ([e-mail])

See Also

• 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

Examples

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)