regFit: survivalsvm (regression approach)

Description Usage Arguments Value Author(s)

Description

The function regFit fits a survivalsvm model based on the regression approach.

Usage

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regFit(X, Y, delta, meth_par = 1, kernel_type = "lin_kernel",
  kernel_pars = NA, bin_cat = integer(0), opt_alg = "quadprog",
  sgf_sv = 5, sigf = 7, maxiter = 20, margin = 0.05, bound = 10,
  eig.tol = 1e-06, conv.tol = 1e-07, posd.tol = 1e-08)

Arguments

X

[matrix(1)]
design matrix.

Y

[vector(1)]
vector of survival times.

delta

[vector(1)]
vector of status: 0 if censored and 1 else.

meth_par

[numeric(1)]
parameter of regularization.

kernel_type

[character(1)]
type of the kernel.

kernel_pars

[vector(1)]
parameter of kernel.

bin_cat

[vector(1)]
indexes of binary/categorial variables.

opt_alg

[character(1)]
program used to solve the optimization problem. This most be one of the two possibilities quadprog or ipop.

sgf_sv

[integer(1)]
number of digits to be retained in the solution.

sigf

[integer(1)]
used by ipop. See ipop for more details.

maxiter

[integer(1)]
used by ipop. See ipop for more details.

margin

[numeric(1)]
used by ipop. See ipop for more details.

bound

[numeric(1)]
used by ipop. See ipop for more details.

eig.tol

[numeric(1)]
used by nearPD for adjusting positive definiteness. See nearPD for detail.

conv.tol

[numeric(1)]
used by nearPD for adjusting positive definiteness. See nearPD for detail.

posd.tol

[numeric(1)]
used by nearPD for adjusting positive definiteness. See nearPD for detail.

Value

[RegFitObj(1)] object of class RegFitObj containing elements:

Beta solution of the quadratic optimization problem,
SV support vector machines,
Kernel kernel matrix, an object of class Kernel,
b0 estimated offset,
OptMeth program used to solve the quadratic optimization problem.

Author(s)

Cesaire J. K. Fouodo


survivalsvm documentation built on May 2, 2019, 9:29 a.m.