hybridFit {survivalsvm} | R Documentation |
survivalsvm (hybrid approach)
Description
fits survivalsvm model based on hybrid approach method for survival support vector ananlysis.
Usage
hybridFit(
X,
Y,
delta,
meth_par = c(1, 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
)
Arguments
X |
[matrix(1) ]
Matrix of training data points.
|
Y |
[vector(1) ]
Vector of survival times.
|
delta |
[vector(1) ]
Vector of status: 1 = not censored.
|
meth_par |
[numeric(1) ]
Parameters of regularization.
|
kernel_type |
[character(1) ]
Kernel that is 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').
|
kernel_pars |
[numeric(1)|vector(1) ]
Parameters of kernel, when required.
|
bin_cat |
[vector(1) ]
Indexes of binary/categorical varibales
|
makediff |
[character(1) ]
String indicating which of 'makediff1' , 'makediff2' or 'makediff3'
will be used.
|
opt_alg |
[character(1) ]
Program that will be used to solve the quadratic optimization problem. Either quadprog or ipop .
|
sgf_sv |
[integer(1) ]
Number of decimal digits in the solution of the quadratic optimization problem.
|
sigf |
[integer(1) ]
Used by ipop . See ipop for details.
|
maxiter |
[integer(1) ]
Used by ipop . See ipop for details.
|
margin |
[numeric(1) ]
Used by ipop . See ipop for details.
|
bound |
[numeric(1) ]
Used by ipop . See ipop for 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
[Hybrid(1)
]
Object of class Hybrid
containing elements:
Alpha | Solution of the quadratic optimization problem, |
Xtrain | Matrix of training 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. |
|
Author(s)
Cesaire J. K. Fouodo
[Package
survivalsvm version 0.0.6
Index]