survivalsvm (version 0.0.5)

predict.survivalsvm: Suvirvalsvm predictions

Description

Predictions of objects of class survivalsvm.

Usage

# S3 method for survivalsvm
predict(object, newdata, subset = NULL, ...)

Value

[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.

Arguments

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.

Author

Cesaire J. K. Fouodo

See Also

survivalsvm

Examples

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)