regFit: survivalsvm (regression approach)

Description

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

Usage

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
)

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.

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.

Author

Cesaire J. K. Fouodo