Dpens: Differentiable penalties
In egeminiani/GJRM: Generalised Joint Regression Modelling
Description
Usage
Arguments
Details
Value
Description
work in progress, temp function
Usage
1
2
3
Arguments
params
coefficients.
type
lasso, alasso or scad.
lambda
smoothing parameter.
w.alasso
for alasso.
gamma
default 1.
a
for scad.
eps
tolerance.
Details
work in progress.
Value
The function returns a penalty.
egeminiani/GJRM documentation built on Sept. 1, 2020, 6:41 p.m.
R Package Documentation
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Description Usage Arguments Details Value
Description
work in progress, temp function
Usage
1 2 3 |
Arguments
params |
coefficients. |
type |
lasso, alasso or scad. |
lambda |
smoothing parameter. |
w.alasso |
for alasso. |
gamma |
default 1. |
a |
for scad. |
eps |
tolerance. |
Details
work in progress.
Value
The function returns a penalty.
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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