cvle: Constructor for the cvle class

In MetabolicSurv: A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature

Description

Constructor for the cvle class

Usage

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.

Value

object of class cvle

MetabolicSurv documentation built on June 11, 2021, 9:06 a.m.