get_Lu: Get automatic step-sizes
In krisrs1128/gflasso: Perform graph structured multitask regression, according to Chen, et al.
get_Lu R Documentation
Get automatic step-sizes
Usage
get_Lu(X, C, lambda, gamma, mu)
Arguments
X
The data matrix.
lambda
The l1 regularization parameter.
gamma
The graph regularization parameter.
mu
The smoothing parameter.
H
The matrix H defined in the reference.
Value
Lu The automatically chosen step sizes defined in the reference.
References
Smoothing Proximal Gradient Method for General Structured Sparse Regressoin
krisrs1128/gflasso documentation built on Nov. 11, 2023, 4:24 a.m.
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| get_Lu | R Documentation |
Get automatic step-sizes
Usage
get_Lu(X, C, lambda, gamma, mu)
Arguments
X |
The data matrix. |
lambda |
The l1 regularization parameter. |
gamma |
The graph regularization parameter. |
mu |
The smoothing parameter. |
H |
The matrix H defined in the reference. |
Value
Lu The automatically chosen step sizes defined in the reference.
References
Smoothing Proximal Gradient Method for General Structured Sparse Regressoin
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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