Return RMSEA and its confidence interval on a model. RMSEA(tmp, silent=TRUE)$RMSEA
# S3 method for MxModel
RMSEA(x, ci.lower = 0.025, ci.upper = 0.975, digits = 3)
object containing the RMSEA, lower and upper bounds, and p-close
an mxModel()
from which to get RMSEA
the lower CI to compute (only 95%, i.e., .025 supported)
the upper CI to compute (only 95%, i.e., .975 supported)
digits to show (default = 3)
Other Reporting functions:
RMSEA.summary.mxmodel()
,
RMSEA()
,
extractAIC.MxModel()
,
loadings.MxModel()
,
loadings()
,
residuals.MxModel()
,
tmx_show.MxMatrix()
,
tmx_show()
,
umxCI_boot()
,
umxCI()
,
umxConfint()
,
umxExpCov()
,
umxExpMeans()
,
umxFitIndices()
,
umxRotate()
if (FALSE) {
require(umx)
data(demoOneFactor)
manifests = names(demoOneFactor)
m1 = umxRAM("One Factor", data = demoOneFactor, type = "cov",
umxPath("G", to = manifests),
umxPath(var = manifests),
umxPath(var = "G", fixedAt = 1)
)
RMSEA(m1)
x = RMSEA(m1)
x$RMSEA # 0.0309761
# Raw: needs to be run by umx to get RMSEA
m2 = umxRAM("One Factor", data = demoOneFactor,
umxPath("G", to = manifests),
umxPath(v.m. = manifests),
umxPath(v1m0 = "G")
)
RMSEA(m2)
}
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