impliedS: Compute a Symbolic Model-Implied Covariance/Correlation...

In symSEM: Symbolic Computation for Structural Equation Models

Description

It computes a symbolic model-implied covariance (or correlation) matrix in SEM using the RAM inputs.

Usage

impliedS(RAM, corr=FALSE)

Arguments

RAM	A RAM object including a list of matrices of the model returned from lavaan2RAM
corr	Whether the model implied matrix is covariance (default) or correlation.

Value

The model implied covariance (or correlation) matrix.

Author(s)

Mike W.-L. Cheung <[e-mail]>

Examples

#### A mediation model
model1 <- "y ~ c*x + b*m
           m ~ a*x
           ## Means
           y ~ b0*1
           m ~ m0*1
           x ~ x0*1"
    
RAM1 <- metaSEM::lavaan2RAM(model1)

## Model-implied covariance matrix and mean structure
impliedS(RAM1, corr=FALSE)

## Model-implied correlation matrix
impliedS(RAM1, corr=TRUE)

#### A CFA model
model2 <- "f =~ x1 + x2 + x3 + x4"
    
RAM2 <- metaSEM::lavaan2RAM(model2)

## Model-implied covariance matrix
impliedS(RAM2, corr=FALSE)

## Model-implied correlation matrix
impliedS(RAM2, corr=TRUE)

symSEM documentation built on July 16, 2020, 9:06 a.m.