rsem.weight: Calculate weight for each subject
In alpha: Robust Cronbach's alpha with missing and non-normal data
Description
Usage
Arguments
Value
Author(s)
References
Description
Calculate weight for each subject in estimating the mean and covariance matrix.
Usage
1
rsem.weight(x, varphi, mu0, sig0)
Arguments
x
Data
varphi
Downweight rate.
mu0
Robust mean
sig0
Robust covariance matrix.
Value
w1
Weight for robust mean estimates
w2
Weight for robust covariance estimates
Author(s)
Zhiyong Zhang and Ke-Hai Yuan
References
Yuan, K.-H., & Zhang, Z. (2012). Robust Structural Equation Modeling with Missing Data and Auxiliary Variables. Psychometrika, 77(4), 803-826.
alpha documentation built on May 2, 2019, 6:11 p.m.
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Description Usage Arguments Value Author(s) References
Description
Calculate weight for each subject in estimating the mean and covariance matrix.
Usage
1 | rsem.weight(x, varphi, mu0, sig0)
|
Arguments
x |
Data |
varphi |
Downweight rate. |
mu0 |
Robust mean |
sig0 |
Robust covariance matrix. |
Value
w1 |
Weight for robust mean estimates |
w2 |
Weight for robust covariance estimates |
Author(s)
Zhiyong Zhang and Ke-Hai Yuan
References
Yuan, K.-H., & Zhang, Z. (2012). Robust Structural Equation Modeling with Missing Data and Auxiliary Variables. Psychometrika, 77(4), 803-826.
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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