Package dk.alexandra.fresco.stat.survival.cox

Class CoxRegressionDiscrete

Object

CoxRegressionDiscrete

All Implemented Interfaces:

Computation<List<DRes<SFixed>>,ProtocolBuilderNumeric>

public class CoxRegressionDiscrete
extends Object

Estimate the coefficients of a Cox model on the given data using gradient descent.

Constructor Summary

Constructors

Constructor	Description
CoxRegressionDiscrete(List<SurvivalInfoDiscrete> data, int iterations, double alpha, double[] beta)	Estimate the coefficients of a Cox model on the given data using gradient descent.

Method Summary

Modifier and Type	Method	Description
DRes<List<DRes<SFixed>>>	buildComputation(ProtocolBuilderNumeric builder)

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

CoxRegressionDiscrete

public CoxRegressionDiscrete(List<SurvivalInfoDiscrete> data, int iterations, double alpha, double[] beta)

Estimate the coefficients of a Cox model on the given data using gradient descent.

Parameters:

data - The data.

iterations - The number of iterations.

alpha - The learning rate.

beta - The initial guess.

Method Details

buildComputation

public DRes<List<DRes<SFixed>>> buildComputation(ProtocolBuilderNumeric builder)

Specified by:

buildComputation in interface Computation<List<DRes<SFixed>>,ProtocolBuilderNumeric>