Last updated on 2018-08-08 13:47:16 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 1.1.6 | 5.20 | 60.43 | 65.63 | OK | |
r-devel-linux-x86_64-debian-gcc | 1.1.6 | 5.09 | 48.65 | 53.74 | OK | |
r-devel-linux-x86_64-fedora-clang | 1.1.6 | 76.99 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 1.1.6 | 73.29 | ERROR | |||
r-devel-windows-ix86+x86_64 | 1.1.6 | 15.00 | 119.00 | 134.00 | OK | |
r-patched-linux-x86_64 | 1.1.6 | 4.84 | 50.97 | 55.81 | OK | |
r-patched-solaris-x86 | 1.1.6 | 113.80 | OK | |||
r-release-linux-x86_64 | 1.1.6 | 5.16 | 50.38 | 55.54 | OK | |
r-release-windows-ix86+x86_64 | 1.1.6 | 16.00 | 114.00 | 130.00 | OK | |
r-release-osx-x86_64 | 1.1.6 | OK | ||||
r-oldrel-windows-ix86+x86_64 | 1.1.6 | 10.00 | 102.00 | 112.00 | ERROR | |
r-oldrel-osx-x86_64 | 1.1.6 | OK |
Version: 1.1.6
Check: examples
Result: ERROR
Running examples in ‘tranSurv-Ex.R’ failed
The error most likely occurred in:
> ### Name: trSurvfit
> ### Title: Estimating survival curves via structural transformation model
> ### Aliases: trSurvfit
>
> ### ** Examples
>
> ## Generate simulated data from a transformation model
> datgen <- function(n) {
+ a <- -0.3
+ X <- rweibull(n, 2, 4) ## failure times
+ U <- rweibull(n, 2, 1) ## latent truncation time
+ T <- (1 + a) * U - a * X ## apply transformation
+ C <- 10 ## censoring
+ dat <- data.frame(trun = T, obs = pmin(X, C), delta = 1 * (X <= C))
+ return(subset(dat, trun <= obs))
+ }
>
> set.seed(123)
> dat <- datgen(300)
> fit <- with(dat, trSurvfit(trun, obs, delta))
Error in uniroot(f, lower = xseq[i], upper = xseq[i + 1], ...) :
f() values at end points not of opposite sign
Calls: with ... eval -> eval -> trSurvfit -> uniroot.all -> uniroot
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.1.6
Check: running examples for arch ‘i386’
Result: ERROR
Running examples in 'tranSurv-Ex.R' failed
The error most likely occurred in:
> ### Name: trSurvfit
> ### Title: Estimating survival curves via structural transformation model
> ### Aliases: trSurvfit
>
> ### ** Examples
>
> ## Generate simulated data from a transformation model
> datgen <- function(n) {
+ a <- -0.3
+ X <- rweibull(n, 2, 4) ## failure times
+ U <- rweibull(n, 2, 1) ## latent truncation time
+ T <- (1 + a) * U - a * X ## apply transformation
+ C <- 10 ## censoring
+ dat <- data.frame(trun = T, obs = pmin(X, C), delta = 1 * (X <= C))
+ return(subset(dat, trun <= obs))
+ }
>
> set.seed(123)
> dat <- datgen(300)
> fit <- with(dat, trSurvfit(trun, obs, delta))
Error in uniroot(f, lower = xseq[i], upper = xseq[i + 1], ...) :
f() values at end points not of opposite sign
Calls: with ... eval -> eval -> trSurvfit -> uniroot.all -> uniroot
Execution halted
Flavor: r-oldrel-windows-ix86+x86_64