cvle function

Constructor for the cvle class

cvle(Coef.mat, Runtime, lambda, n, Met.mat, HRTrain, HRTest, pld, Mdata)

Arguments

• Coef.mat: A matrix of coefficients with rows equals to number of cross validations and columns equals to number of metabolites.
• Runtime: A vector of runtime for each iteration measured in seconds.
• lambda: A vector of estimated optimum lambda for each iterations.
• n: A vector of the number of selected metabolites
• Met.mat: 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.
• HRTrain: 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.
• HRTest: 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.
• pld: A vector of partial likelihood deviance at each cross validations.
• Mdata: The metabolite matrix that was used for the analysis which can either be the full the full data or a reduced supervised PCA version.

Returns

object of class cvle