pp_scad_lin: SCAD Penalty Derivative (Linearized Approximation)
In geeVerse: A Comprehensive Analysis of High Dimensional Longitudinal Data
pp_scad_lin R Documentation
SCAD Penalty Derivative (Linearized Approximation)
Description
This function calculates the derivative of the SCAD penalty, often used in
the local linear approximation algorithm.
Usage
pp_scad_lin(beta, lambda, a = 3.7)
Arguments
beta
A vector of coefficients.
lambda
The main penalty tuning parameter.
a
The second tuning parameter of the SCAD penalty (often 3.7).
Value
A vector of penalty derivative values.
geeVerse documentation built on Aug. 21, 2025, 5:56 p.m.
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| pp_scad_lin | R Documentation |
SCAD Penalty Derivative (Linearized Approximation)
Description
This function calculates the derivative of the SCAD penalty, often used in the local linear approximation algorithm.
Usage
pp_scad_lin(beta, lambda, a = 3.7)
Arguments
beta |
A vector of coefficients. |
lambda |
The main penalty tuning parameter. |
a |
The second tuning parameter of the SCAD penalty (often 3.7). |
Value
A vector of penalty derivative values.
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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