predict.survivalsvm: Suvirvalsvm predictions

In survivalsvm: Survival Support Vector Analysis

Description

Predictions of objects of class survivalsvm.

Usage

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

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.

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.

Author(s)

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)

Example output

Loading required package: survival


survivalsvm prediction

Type of survivalsvm                      : regression 
Type of kernel                           : add_kernel 
Optimization solver used in model        : quadprog 
predicted risk ranks                     : 13.89 14.95 11.12 15.6 10.7 ...
survivalsvm version                      : 0.0.5 

survivalsvm documentation built on May 2, 2019, 9:29 a.m.