https://github.com/mikewlcheung/symsem

Symbolic Computation for Structural Equation Models
https://github.com/mikewlcheung/symsem

caracas r-package structural-equation-modeling symbolic-calculations

Last synced: 3 months ago
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Symbolic Computation for Structural Equation Models

• Host: GitHub
• URL: https://github.com/mikewlcheung/symsem
• Owner: mikewlcheung
• Created: 2020-07-02T08:14:31.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2024-05-17T12:51:26.000Z (about 2 years ago)
• Last Synced: 2025-12-09T11:43:49.352Z (6 months ago)
• Topics: caracas, r-package, structural-equation-modeling, symbolic-calculations
• Language: R
• Homepage:
• Size: 42 KB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS

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# symSEM

Symbolic Computation for Structural Equation Models

The symSEM package uses the [caracas](https://cran.r-project.org/package=caracas) package, which depends on the [SymPy](https://www.sympy.org/) 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)

```