RMSEA.summary.mxmodel: RMSEA function for MxModel summary

In tbates/umx: Structural Equation Modeling and Twin Modeling in R

RMSEA function for MxModel summary

Description

Extract the RMSEA and confidence interval from a model summary and returns it as an RMSEA object. To report just the RMSEA, you can use RMSEA(model)$RMSEA

Usage

## S3 method for class 'summary.mxmodel'
RMSEA(x, ci.lower = 0.025, ci.upper = 0.975, digits = 3)

Arguments

x	an OpenMx::mxModel() summary from which to get RMSEA
ci.lower	the lower CI to compute (only 95% CI (.025) is implemented)
ci.upper	the upper CI to compute (only 95% CI (.975) is implemented)
digits	The number of digits to round data (defaults to 3)

Value

• object containing the RMSEA and lower and upper bounds

References

• https://github.com/simsem/semTools/wiki/Functions, https://github.com/tbates/umx

See Also

Other Reporting functions: RMSEA(), RMSEA.MxModel(), extractAIC.MxModel(), loadings(), loadings.MxModel(), residuals.MxModel(), tmx_show(), tmx_show.MxMatrix(), umxCI(), umxCI_boot(), umxConfint(), umxExpCov(), umxExpMeans(), umxFitIndices(), umxRotate()

Examples

## Not run: 
require(umx)
data(demoOneFactor)
manifests = names(demoOneFactor)

m1 = umxRAM("One Factor", data = demoOneFactor[1:100,], type = "cov",
	umxPath("G", to = manifests),
	umxPath(var = manifests),
	umxPath(var = "G", fixedAt = 1.0)
)
tmp = summary(m1)
RMSEA(tmp)

## End(Not run)

tbates/umx documentation built on Dec. 14, 2024, 11:28 a.m.