cv.glmDegree {glmSparseNet} | R Documentation |
This function overrides the 'trans.fun' options in 'network.options' with the inverse of a degree described in VerĂssimo et al. (2015) that penalizes nodes with small degree.
cv.glmDegree(xdata, ydata, network, network.options = networkOptions(), ...)
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 |
see cv.glmSparseNet
glmNetSparse
xdata <- matrix(rnorm(100), ncol = 5) cv.glmDegree(xdata, rnorm(nrow(xdata)), 'correlation', family = 'gaussian', nfolds = 5, network.options = networkOptions(min.degree = .2))