symSEM

Symbolic Computation for Structural Equation Models

Example

Compute a symbolic model-implied covariance and correlation matrices

library(symSEM)

## A regression model
model <- "y ~ b1*x1 + b2*x2
          ## Covariance between x1 and x2
          x1 ~~ x2
          ## Means
          y ~ b0*1
          x1 ~ m1*1
          x2 ~ m2*1"

## Convert it into a RAM speculation
RAM <- metaSEM::lavaan2RAM(model)

## Implied covariance matrix and mean structure
impliedS(RAM, corr=FALSE)

## Implied correlation matrix
impliedS(RAM, corr=TRUE)