cv_rfclass: Wrapper for RF Boruta classification crossvalidation.

In bootfs: Derive Robust Feature Sets for Two or Multiclass Classification Problems

Description

Wrapper for RF Boruta classification crossvalidation.

Usage

cv_rfclass(X, logX, ncv=5, repeats=10, seed=123,
		maxRuns=500, avg="none", spread.estimate="none",
		colorize=FALSE, minclassN=NULL,
		ntree=1000, localImp=TRUE, rfimportance="MeanDecreaseGini",
		fs.method="rf_boruta", 
		...)

Arguments

X	A list of group vectors. Each list element is a named vector (length equals the number of samples), holding group assignments for each sample (either 1 for group A and -1 for group B).
logX	The data matrix. Samples in rows, features in columns.
ncv	Number of crossvalidation folds.
repeats	Number of crossvalidation repeats.
seed	A random seed.
maxRuns	scad parameter.
avg	DEPRECATED. roc curve parameter.
spread.estimate	DEPRECATED. roc curve parameter.
colorize
minclassN	DEPRECATED. roc curve parameter.
...	Additional arguments.

Details

An internal function, which is usually not called directly.

Value

Todo.

Author(s)

Christian Bender

References

Todo.

See Also

Todo.

Examples

## Not run: 
#Todo.

## End(Not run)

bootfs documentation built on May 2, 2019, 5:50 p.m.