proto: Extract the Prototype from Each Variable Group
In OHPL: Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Description
Usage
Arguments
Value
Description
This function extracts the prototype from each variable group.
Usage
1
Arguments
X
Predictor matrix
y
Response matrix with one column
groups
An group index vector containing the
group number each variable belongs to. For example:
c(1, 1, 1, 1, 1, 2, 2, 2, ...).
Variable groups can be generated by the Fisher optimal
partition algorithm implemented in FOP.
type
The rule for extracting the prototype.
Possible options are "max" and "median".
mu
The mean value of y for standarization.
Default is NULL, which uses the sample mean
of y.
Value
The prototypes (variable index) extracted
from each group (cluster).
OHPL documentation built on May 18, 2019, 9:03 a.m.
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Description Usage Arguments Value
Description
This function extracts the prototype from each variable group.
Usage
1 |
Arguments
X |
Predictor matrix |
y |
Response matrix with one column |
groups |
An group index vector containing the
group number each variable belongs to. For example:
|
type |
The rule for extracting the prototype.
Possible options are |
mu |
The mean value of |
Value
The prototypes (variable index) extracted from each group (cluster).
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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