calculateCompositeVCV: Internal: Calculate composite variance-covariance matrix
In cSEM: Composite-Based Structural Equation Modeling
calculateCompositeVCV R Documentation
Internal: Calculate composite variance-covariance matrix
Description
Calculate the sample variance-covariance (VCV) matrix of the composites/proxies.
Usage
calculateCompositeVCV(
.S = args_default()$.S,
.W = args_default()$.W
)
Arguments
.S
The (K x K) empirical indicator correlation matrix.
.W
A (J x K) matrix of weights.
Value
A (J x J) composite VCV matrix.
cSEM documentation built on Nov. 25, 2022, 1:05 a.m.
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| calculateCompositeVCV | R Documentation |
Internal: Calculate composite variance-covariance matrix
Description
Calculate the sample variance-covariance (VCV) matrix of the composites/proxies.
Usage
calculateCompositeVCV( .S = args_default()$.S, .W = args_default()$.W )
Arguments
.S |
The (K x K) empirical indicator correlation matrix. |
.W |
A (J x K) matrix of weights. |
Value
A (J x J) composite VCV matrix.
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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