rsem.se: Calculate robust standard errors
In rsem: Robust Structural Equation Modeling with Missing Data and Auxiliary Variables
rsem.se R Documentation
Calculate robust standard errors
Description
Calculate robust standard errors
Usage
rsem.se(object, gamma)
Arguments
object
Output from lavaan analysis, such as growth, factor, sem functions.
gamma
Robust covariance matrix for saturated mean and covariances
Author(s)
Ke-Hai Yuan and Zhiyong Zhang
References
Ke-Hai Yuan and Zhiyong Zhang (2011) Robust Structural Equation Modeling with Missing Data and Auxiliary Variables
Examples
x<-array(1:6, c(2,3))
rsem.vec(x)
rsem documentation built on Aug. 27, 2023, 1:06 a.m.
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| rsem.se | R Documentation |
Calculate robust standard errors
Description
Calculate robust standard errors
Usage
rsem.se(object, gamma)
Arguments
object |
Output from lavaan analysis, such as growth, factor, sem functions. |
gamma |
Robust covariance matrix for saturated mean and covariances |
Author(s)
Ke-Hai Yuan and Zhiyong Zhang
References
Ke-Hai Yuan and Zhiyong Zhang (2011) Robust Structural Equation Modeling with Missing Data and Auxiliary Variables
Examples
x<-array(1:6, c(2,3))
rsem.vec(x)
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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