getReturnModels: getReturnModels
In LewisLabUCSD/RegressionModelPipeline: Pipeline for feature selection, interaction assessment, regression modeling and prediction assessment for 1-1000s of features
Description
Usage
Arguments
Value
Description
getReturnModels
Usage
1
getReturnModels(l_reg, m, k)
Arguments
l_reg
list of glmnet.cv objects
m
matrix of coefficients
k
number of prototype models to extract
Value
sel_return k models that are the centroids (most average) of each major cluster
LewisLabUCSD/RegressionModelPipeline documentation built on Jan. 11, 2021, 10:33 p.m.
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Description Usage Arguments Value
Description
getReturnModels
Usage
1 | getReturnModels(l_reg, m, k)
|
Arguments
l_reg |
list of glmnet.cv objects |
m |
matrix of coefficients |
k |
number of prototype models to extract |
Value
sel_return k models that are the centroids (most average) of each major 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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