cv.glmOrphan: GLMNET cross-validation model penalizing nodes with high...

Description Usage Arguments Value See Also Examples

Description

This function overrides the 'trans.fun' options in 'network.options' with an heuristic described in Veríssimo et al. that penalizes nodes with high degree.

Usage

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cv.glmOrphan(xdata, ydata, network, network.options = networkOptions(),
  ...)

Arguments

xdata

input data, can be a matrix or MultiAssayExperiment

ydata

response data compatible with glmnet

network

type of network, see below

network.options

options to calculate network

...

parameters that glmnet accepts

Value

see cv.glmSparseNet

See Also

glmNetSparse

Examples

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xdata <- matrix(rnorm(100), ncol = 5)
cv.glmOrphan(xdata, rnorm(nrow(xdata)), 'correlation',
             family = 'gaussian',
             nfolds = 5,
             network.options = networkOptions(min.degree = .2))

glmSparseNet documentation built on May 12, 2019, 2:04 a.m.