#' GLM cv
#'
#' fonisce le previsioni della cv, da utilizzare dentro sapply(1:k,...)
#'
#' @param i i-esimo fold
#' @param formula formula del modello
#' @param folds prodotto da kfold function
#' @param y vettore. variabile risposta
#' @param x matrice variabili esplicative
#' @param family qualsiasi
#'
#' @export
mars_crossvalidation<-function(i,formula=NULL,y,x,folds,family=binomial){
x<-x[,search_constant(x[-folds[[i]],])]
if(class(formula)=='NULL'){
m<-earth(x=x[-folds[[i]],],y=y[-folds[[i]]],degree=2,glm=list(family=family))
}
else
{
formula<-as.formula(formula)
m<-earth(formula,data=x[-folds[[i]],],degree=2,glm=list(family=family))
}
pred <- predict(m, newdata = x[folds[[i]],],type='response')
pred
}
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