getSRMR.Sigma: getSRMR.Sigma
In semPower: Power Analyses for SEM
getSRMR.Sigma R Documentation
getSRMR.Sigma
Description
Computes SRMR given the model-implied and the observed (or population) covariance matrix,
using the Hu & Bentler approach to standardization.
Usage
getSRMR.Sigma(SigmaHat, S, muHat = NULL, mu = NULL)
Arguments
SigmaHat
model implied covariance matrix
S
observed (or population) covariance matrix
muHat
model implied mean vector
mu
observed (or population) mean vector
Value
Returns SRMR
semPower documentation built on Sept. 30, 2024, 9:24 a.m.
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| getSRMR.Sigma | R Documentation |
getSRMR.Sigma
Description
Computes SRMR given the model-implied and the observed (or population) covariance matrix, using the Hu & Bentler approach to standardization.
Usage
getSRMR.Sigma(SigmaHat, S, muHat = NULL, mu = NULL)
Arguments
SigmaHat |
model implied covariance matrix |
S |
observed (or population) covariance matrix |
muHat |
model implied mean vector |
mu |
observed (or population) mean vector |
Value
Returns SRMR
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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