run.cross.validation: run.cross.validation
In RnBeads: RnBeads
Description
Usage
Arguments
Value
Author(s)
View source: R/agePrediction.R
Description
This function performs 10-fold cross validation to estimate the performance of a
newly trained predictor. If parallel.isEnabled(), the function perfoms cross
validation in parallel. The function adds a table to the specified report containing
the result of the 10-fold cross validation.
Usage
1
run.cross.validation(rnbSet, report, alpha = 0.8)
Arguments
rnbSet
a RnBSet object containing the methylation info and ages on which
the new predictor should be trained
report
report to which the table should be added
alpha
alpha parameter used in the elastic net regression
Value
modified report object
Author(s)
Michael Scherer
RnBeads documentation built on March 3, 2021, 2 a.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
View source: R/agePrediction.R
Description
This function performs 10-fold cross validation to estimate the performance of a
newly trained predictor. If parallel.isEnabled(), the function perfoms cross
validation in parallel. The function adds a table to the specified report containing
the result of the 10-fold cross validation.
Usage
1 | run.cross.validation(rnbSet, report, alpha = 0.8)
|
Arguments
rnbSet |
a |
report |
report to which the table should be added |
alpha |
alpha parameter used in the elastic net regression |
Value
modified report object
Author(s)
Michael Scherer
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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