cvle {MetabolicSurv}R Documentation

Constructor for the cvle class

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


[Package MetabolicSurv version 1.1.2 Index]