Description
Symbolic Computation for Structural Equation Models.
Description
A collection of functions for symbolic computation using the 'caracas' package for structural equation models and other statistical analyses. Among its features is the ability to calculate the model-implied covariance (and correlation) matrix and the sampling covariance matrix of variable functions using the delta method.
README.md
symSEM
Symbolic Computation for Structural Equation Models
The symSEM package uses the caracas package, which depends on the SymPy library, for the symbolic computations.
The stable version can be installed from CRAN by:
install.packages("symSEM")
The developmental version can be installed from GitHub by:
## Install remotes package if it has not been installed yet
# install.packages("remotes")
remotes::install_github("mikewlcheung/symsem")
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)