pen_calculator: Penalty calculator
In SparseMDC: Implementation of SparseMDC Algorithm
Description
Usage
Arguments
Value
Description
Calcualtes the penalty terms for penalizing mean size and mean difference.
This function runs inside sparse_mdc.
Usage
1
pen_calculator(lambda1, lambda2, nk, delta)
Arguments
lambda1
Calculated penalty parameter for mean size.
lambda2
Calculated penalty parameter for mean difference.
nk
Vector containing the number of samples in each dimension.
delta
Small term to ensure existance of solution, default is
0.0000001.
Value
a list with two vectors containing the penalty terms for mean size
and mean difference respectively.
SparseMDC documentation built on May 2, 2019, 4:01 a.m.
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Description Usage Arguments Value
Description
Calcualtes the penalty terms for penalizing mean size and mean difference.
This function runs inside sparse_mdc.
Usage
1 | pen_calculator(lambda1, lambda2, nk, delta)
|
Arguments
lambda1 |
Calculated penalty parameter for mean size. |
lambda2 |
Calculated penalty parameter for mean difference. |
nk |
Vector containing the number of samples in each dimension. |
delta |
Small term to ensure existance of solution, default is 0.0000001. |
Value
a list with two vectors containing the penalty terms for mean size and mean difference respectively.
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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