fits the 'vanbelle1' version of the ranking approach of survival support vector ananlysis.
vanbelle1Fit(X, Y, delta, meth_par = 1, kernel_type = "lin_kernel",
kernel_pars = NA, bin_cat = integer(0), makediff = makediff3,
opt_alg = "quadprog", sgf_sv = 5, sigf = 7, maxiter = 40,
margin = 0.05, bound = 10, eig.tol = 1e-06, conv.tol = 1e-07,
posd.tol = 1e-08)[VB1FitObj(1)]
object of class VB1FitObj containing elements:
Alpha | solution of the quadratic optimization problem, |
Xtrain | matrix of training data points, |
DifMat | matrix used to maked differences between neighbor points, |
Kernel | kernel matrix, an object of class Kernel, |
OptMeth | program used to solve the quadratic optimization problem. |
[matrix(1)]
Matrix of training data points.
[vector(1)]
Vector of survival times.
[vector(1)]
Vector of status: 1 = not censored.
[numeric(1)]
Parameter of regularization.
[character(1)]
Kernel that will be used to fit the model. The handled type are: linear kern ('lin_kern'), additive kernel ('add_kernel'),
radial basis kernels ('rbf_kernel' and 'rbf4_kernel') and the polynomial kernel ('poly_kernel').
[numeric(1)|vector(1)]
Parameters of kernel, when required.
[vector(1)]
Indexes of binary/categorical varibales
[character(1)]
String indicating which of 'makediff1', 'makediff2' or 'makediff3'
will be used.
[vector(1)]
Program that will be used to solve the quadratic optimization problem. Either quadprog or ipop.
[integer(1)]
Number of decimal digits in the solution of the quadratic optimization problem.
[integer(1)]
Used by ipop. See ipop for details.
[integer(1)]
Used by ipop. See ipop for details.
[numeric(1)]
Used by ipop. See ipop for details.
[numeric(1)]
Used by ipop. See ipop for details.
[numeric(1)]
Used by nearPD for adjusting positive definiteness. See nearPD for detail.
[numeric(1)]
Used by nearPD for adjusting positive definiteness. See nearPD for detail.
[numeric(1)]
Used by nearPD for adjusting positive definiteness. See nearPD for detail.
Cesaire J. K. Fouodo