featureImportance: fSVA and Nearest Shrunken Centroid feature importance
In MalteThodberg/BEEF: Batch Effect Estimation with fSVA (Frozen Surrogate Variable Analysis)
Description
Usage
Arguments
Value
Examples
Description
DETAILS.
Usage
1
featureImportance(object, threshold = NULL)
Arguments
object
beefedUpSNC object.
threshold
numeric: Amount of centroid shrinkage (controls how many features are retained in the model).
Value
data.frame.
Examples
1
# ADD_EXAMPLES_HERE
MalteThodberg/BEEF documentation built on May 7, 2019, 2:09 p.m.
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Description Usage Arguments Value Examples
Description
DETAILS.
Usage
1 | featureImportance(object, threshold = NULL)
|
Arguments
object |
beefedUpSNC object. |
threshold |
numeric: Amount of centroid shrinkage (controls how many features are retained in the model). |
Value
data.frame.
Examples
1 | # ADD_EXAMPLES_HERE
|
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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