prediction should warn if/which rows are removed

[fdeloscogna]

see: https://github.com/imbs-hl/survivalsvm/blob/d0eec0d49f99de6cea8fe8fd8c9de6ba7c153bff/R/predictions.R#L133

library(survival)
library(survivalsvm)

set.seed(123)
n <- nrow(veteran)

train.index <- sample(seq_len(n), 0.7*n, replace = FALSE)
test.index <- setdiff(seq_len(n), train.index)

train <- veteran[train.index, , drop = FALSE]
test <- veteran[test.index, , drop = FALSE]

test[1, "karno"] <- NA_real_

survsvm.reg <- survivalsvm(
  Surv(diagtime, status) ~ .,
  data = train,
  type = "regression",
  gamma.mu = 1,
  opt.meth = "quadprog",
  kernel = "add_kernel"
)

pred.survsvm.reg <- predict(
  object = survsvm.reg,
  newdata = test
)

conindex(
  pred.survsvm.reg,
  Surv(test$diagtime, test$status)
)
#> Error in conindex(pred.survsvm.reg, Surv(test$diagtime, test$status)): Error: lengths do not macht.

complete_rows <- complete.cases(test)
conindex(
  pred.survsvm.reg,
  Surv(
    test$diagtime[complete_rows],
    test$status[complete_rows]
  )
)
#>   C Index 
#> 0.7109905

^{Created on 2022-04-27 by the reprex package (v2.0.1)}

Session info

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