dfNuclear: Compute the degree of freedom for nuclear regularized...
In bozenne/lava.penalty: Penalized Latent Variable Models
Description
Usage
Arguments
References
Description
Compute the degree of freedom for nuclear regularized regression
Usage
1
dfNuclear(B.LS, B.lambda, lambda1, lambda2 = 0, tol = 1e-12)
Arguments
B.LS
??
B.lambda
??
lambda1
lasso penalization parameter
lambda2
ridge penalization parameter
tol
value under which an eigen value is considered to be null
References
Zhou et al. Regularized Matrix Regression
bozenne/lava.penalty documentation built on May 13, 2019, 1:41 a.m.
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Description Usage Arguments References
Description
Compute the degree of freedom for nuclear regularized regression
Usage
1 | dfNuclear(B.LS, B.lambda, lambda1, lambda2 = 0, tol = 1e-12)
|
Arguments
B.LS |
?? |
B.lambda |
?? |
lambda1 |
lasso penalization parameter |
lambda2 |
ridge penalization parameter |
tol |
value under which an eigen value is considered to be null |
References
Zhou et al. Regularized Matrix Regression
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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