GU_normalization_sum_vcov: Sum covariance matrix for GU normalization
In ddecompose: Detailed Distributional Decomposition
View source: R/GU_normalization.R
GU_normalization_sum_vcov R Documentation
Sum covariance matrix for GU normalization
Description
This function adjusts the covariance matrix for the additional coefficient
of the originally left-out reference level of a single factor variable.
Usage
GU_normalization_sum_vcov(coef_names, Cov_beta)
Arguments
coef_names
names of the dummy coefficients of a factor variable
Cov_beta
estimated covariance matrix of the regression coefficients
ddecompose documentation built on May 29, 2024, 5:36 a.m.
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View source: R/GU_normalization.R
| GU_normalization_sum_vcov | R Documentation |
Sum covariance matrix for GU normalization
Description
This function adjusts the covariance matrix for the additional coefficient of the originally left-out reference level of a single factor variable.
Usage
GU_normalization_sum_vcov(coef_names, Cov_beta)
Arguments
coef_names |
names of the dummy coefficients of a factor variable |
Cov_beta |
estimated covariance matrix of the regression coefficients |
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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