casl_lenet_screen: Apply coordinate descent screening rules.
In BillyTian/bis557: Package containing assignments, projects or other products in BIS557
Description
Usage
Arguments
Value
Author(s)
References
Description
Apply coordinate descent screening rules.
Usage
1
2
Arguments
X
A numeric data matrix.
y
Response vector.
lambda
The penalty term.
b
A matrix of warm start coefficients for the algorithm.
maxit
Integer maximum number of iterations.
Value
Named list of parameters for use in the lenet algorithm.
Author(s)
Taylor Arnold, Michael Kane, Bryan Lewis.
References
Taylor Arnold, Michael Kane, and Bryan Lewis.
A Computational Approach to Statistical Learning.
Chapman & Hall/CRC Texts in Statistical Science, 2019.
BillyTian/bis557 documentation built on Dec. 19, 2020, 7:30 a.m.
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Description Usage Arguments Value Author(s) References
Description
Apply coordinate descent screening rules.
Usage
1 2 |
Arguments
X |
A numeric data matrix. |
y |
Response vector. |
lambda |
The penalty term. |
b |
A matrix of warm start coefficients for the algorithm. |
maxit |
Integer maximum number of iterations. |
Value
Named list of parameters for use in the lenet algorithm.
Author(s)
Taylor Arnold, Michael Kane, Bryan Lewis.
References
Taylor Arnold, Michael Kane, and Bryan Lewis. A Computational Approach to Statistical Learning. Chapman & Hall/CRC Texts in Statistical Science, 2019.
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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