findFactorResidualVar: Find factor residual variances from regression coefficient...

Description Usage Arguments Value Author(s) See Also Examples

View source: R/find.R

Description

Find factor residual variances from regression coefficient matrix, factor (residual) correlation matrix, and total factor variances for latent variable models. In the path analysis model, this function will find indicator residual variances from regression coefficient, indicator (residual) correlation matrix, and total indicator variances.

Usage

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findFactorResidualVar(beta, corPsi, totalVarPsi = NULL, gamma = NULL, covcov = NULL)

Arguments

beta

Regression coefficient matrix among factors

corPsi

Factor or indicator residual correlations.

totalVarPsi

Factor or indicator total variances. The default is that all factor or indicator total variances are 1.

gamma

Regression coefficient matrix from covariates (column) to factors (rows)

covcov

A covariance matrix among covariates

Value

A vector of factor (indicator) residual variances

Author(s)

Sunthud Pornprasertmanit ([email protected])

See Also

Examples

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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
facCor <- diag(9)
facCor[1, 2] <- facCor[2, 1] <- 0.4
facCor[1, 3] <- facCor[3, 1] <- 0.4
facCor[2, 3] <- facCor[3, 2] <- 0.4
totalVar <- rep(1, 9)
findFactorResidualVar(path, facCor, totalVar)

simsem documentation built on June 3, 2018, 5:04 p.m.