process.y: Process y for a sparse group penalty
In SGPR: Sparse Group Penalized Regression for Bi-Level Variable Selection
process.y R Documentation
Process y for a sparse group penalty
Description
A function that checks the response vector y for possible errors.
Usage
process.y(y, type)
Arguments
y
The response vector.
type
A string indicating the type of regression model (linear or binomial).
Value
The verified response vector y.
SGPR documentation built on May 29, 2024, 5:27 a.m.
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| process.y | R Documentation |
Process y for a sparse group penalty
Description
A function that checks the response vector y for possible errors.
Usage
process.y(y, type)
Arguments
y |
The response vector. |
type |
A string indicating the type of regression model (linear or binomial). |
Value
The verified response vector y.
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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