regFit: survivalsvm (regression approach)
In survivalsvm: Survival Support Vector Analysis

Description Usage Arguments Value Author(s)

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

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)

`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.

[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.