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An R package for goodness of fit testing of structural equation models. Built on top of lavaan.
Use the following command from inside R:
Call the library function, create a lavaan model, and run the pvalues function.
library("semTests")
model <- "A =~ A1+A2+A3+A4+A5;
C =~ C1+C2+C3+C4+C5"
n <- 200
object <- lavaan::sem(model, psych::bfi[1:n, 1:10], estimator = "MLM")
pvalues(object)
#> ppeba2_trad ppeba4_trad pols_2_trad ppeba2_rls ppeba4_rls pols_2_rls
#> 0.04182486 0.04370615 0.04397064 0.04235143 0.04424139 0.04450873Foldnes, N., & Grønneberg, S. (2018). Approximating Test Statistics Using Eigenvalue Block Averaging. Structural Equation Modeling, 25(1), 101–114. https://doi.org/10.1080/10705511.2017.1373021
Grønneberg, S., & Foldnes, N. (2019). Testing Model Fit by Bootstrap Selection. Structural Equation Modeling, 26(2), 182–190. https://doi.org/10.1080/10705511.2018.1503543
Marcoulides, K. M., Foldnes, N., & Grønneberg, S. (2020). Assessing Model Fit in Structural Equation Modeling Using Appropriate Test Statistics. Structural Equation Modeling, 27(3), 369–379. https://doi.org/10.1080/10705511.2019.1647785
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02
If you encounter a bug, have a feature request or need some help, open a Github issue. Create a pull requests to contribute.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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