fits survivalsvm model based on hybrid approach method for survival support vector ananlysis.
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
)
[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. |
[matrix(1)
]
Matrix of training data points.
[vector(1)
]
Vector of survival times.
[vector(1)
]
Vector of status: 1 = not censored.
[numeric(1)
]
Parameters of regularization.
[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').
[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.
[character(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