impliedS {symSEM}

Compute a Symbolic Model-Implied Covariance/Correlation Matrix

Description

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

Usage

impliedS(RAM, corr = FALSE, simplify = TRUE)

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 structure.

simplify

Attempt to simplify the output.

Value

The model implied covariance (or correlation) matrix and means vector.

Author(s)

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

Examples

## Not run: 

#### 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#'
           ## Mean
           f ~ fmean*1"

RAM2 <- metaSEM::lavaan2RAM(model2)

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

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

## End(Not run)