Suvirvalsvm predictions
Predictions of objects of class survivalsvm
.
## S3 method for class 'survivalsvm' predict(object, newdata, subset = NULL, ...)
object
: [survivalsvm(1)
]
Object of class survivalsvm
, fitted with survivalsvm
.
newdata
: [data.frame(1)
]
Data frame of observations.
subset
: [vector(1)
]
Indexes of data points of used to make the prediction.
...
: [any
]
Further arguments passed to or from other methods.
[survivalsvmprediction(1)
] Object of class survivalsvmprediction
, with elements:
typeofsurvivalsvm | Type of survivalsvm object that is fitted in the model, |
typeofkernel | type of kernel used to fit the model, |
parameterofkernel | Kernel parameters used to fit the model, |
opt.meth | solver used to fit the model, |
predicted | values predicted. |
require(survival) set.seed(123) n <- nrow(veteran) train.index <- sample(1:n, 0.7*n, replace = FALSE) test.index <- setdiff(1:n, train.index) survsvm.reg <- survivalsvm(Surv(veteran$diagtime, veteran$status) ~ ., subset = train.index, data = veteran, type = "regression", gamma.mu = 1, opt.meth = "quadprog", kernel = "add_kernel") pred.survsvm.reg <- predict(object = survsvm.reg, newdata = veteran, subset = test.index) print(pred.survsvm.reg)
survivalsvm
Cesaire J. K. Fouodo