CRAN Package Check Results for Package tranSurv

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

Additional issues

valgrind

Check Details

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