cv.cornet  R Documentation 
Compares models for a continuous response with a cutoff value.
cv.cornet( y, cutoff, X, alpha = 1, nfolds.ext = 5, nfolds.int = 10, foldid.ext = NULL, foldid.int = NULL, type.measure = "deviance", ... )
y 
continuous outcome: vector of length n 
cutoff 
cutoff point for dichotomising outcome into classes:
meaningful value between 
X 
features: numeric matrix with n rows (samples) and p columns (variables) 
alpha 
elastic net mixing parameter: numeric between 0 (ridge) and 1 (lasso) 
nfolds.ext 
number of external folds 
nfolds.int 
internal fold identifiers:
vector of length n with entries
between 1 and 
foldid.ext 
external fold identifiers:
vector of length n with entries
between 1 and 
foldid.int 
number of internal folds 
type.measure 
loss function for binary classification:
character 
... 
further arguments passed to

Computes the crossvalidated loss of logistic and combined regression.
## Not run: n < 100; p < 200 y < rnorm(n) X < matrix(rnorm(n*p),nrow=n,ncol=p) loss < cv.cornet(y=y,cutoff=0,X=X) loss ## End(Not run)
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