Constructor for the cvle class
cvle(Coef.mat, Runtime, lambda, n, Met.mat, HRTrain, HRTest, pld, Mdata)A matrix of coefficients with rows equals to number of cross validations and columns equals to number of metabolites.
A vector of runtime for each iteration measured in seconds.
A vector of estimated optimum lambda for each iterations.
A vector of the number of selected metabolites
A matrix with 0 and 1. Number of rows equals to number of iterations and number of columns equals to number of metabolites. 1 indicates that the particular metabolite was selected or had nonzero coefficient and otherwise it is zero.
A matrix of survival information for the training dataset. It has three columns representing the estimated HR, the 95% lower confidence interval and the 95% upper confidence interval.
A matrix of survival information for the test dataset. It has three columns representing the estimated HR, the 95% lower confidence interval and the 95% upper confidence interval.
A vector of partial likelihood deviance at each cross validations.
The metabolite matrix that was used for the analysis which can either be the full the full data or a reduced supervised PCA version.
object of class cvle