vdp_svd: Variance decomposition proportions
In G-Kazantzidis/Collinearity: Impact of collinearity on Classical and Bayesian model choice criteria
Description
Usage
Arguments
Author(s)
Description
This function uses singular values decomposition to compute variance decomposition proportions for a design matrix X
Usage
1
vdp_svd(object)
Arguments
object
object is a design matrix X
Author(s)
Georgios Kazantzidis, Malgorzata Roos
G-Kazantzidis/Collinearity documentation built on Feb. 15, 2022, 6:56 p.m.
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Description Usage Arguments Author(s)
Description
This function uses singular values decomposition to compute variance decomposition proportions for a design matrix X
Usage
1 | vdp_svd(object)
|
Arguments
object |
object is a design matrix X |
Author(s)
Georgios Kazantzidis, Malgorzata Roos
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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