Last updated on 2023-12-01 10:53:45 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.3-5 | 5.96 | 54.47 | 60.43 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.3-5 | 4.27 | 43.53 | 47.80 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.3-5 | 77.96 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.3-5 | 72.17 | OK | |||
| r-devel-windows-x86_64 | 0.3-5 | 7.00 | 69.00 | 76.00 | OK | |
| r-patched-linux-x86_64 | 0.3-5 | 7.21 | 54.56 | 61.77 | OK | |
| r-release-linux-x86_64 | 0.3-5 | 4.21 | 55.06 | 59.27 | OK | |
| r-release-macos-arm64 | 0.3-5 | 37.00 | OK | |||
| r-release-macos-x86_64 | 0.3-5 | 46.00 | OK | |||
| r-release-windows-x86_64 | 0.3-5 | 8.00 | 74.00 | 82.00 | OK | |
| r-oldrel-macos-arm64 | 0.3-5 | 32.00 | OK | |||
| r-oldrel-macos-x86_64 | 0.3-5 | 50.00 | OK | |||
| r-oldrel-windows-x86_64 | 0.3-5 | 9.00 | 77.00 | 86.00 | OK |
Version: 0.3-5
Check: examples
Result: ERROR
Running examples in ‘poissonMT-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: glmrobMT
> ### Title: Robust Fitting of Poisson Generalized Linear Models using MT
> ### robust method
> ### Aliases: glmrobMT
> ### Keywords: robust regression nonlinear
>
> ### ** Examples
>
> data(epilepsy)
> Efit1 <- glm(Ysum ~ Age10 + Base4*Trt, family=poisson, data=epilepsy)
>
> x <- model.matrix( ~ Age10 + Base4*Trt, data=epilepsy)
> poissonMTsetwd(tempdir())
> Efit2 <- glmrobMT(x=x, y=epilepsy$Ysum)
Computing initial estimate
Floating point exception
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.3-5
Check: examples
Result: ERROR
Running examples in ‘poissonMT-Ex.R’ failed
The error most likely occurred in:
> ### Name: glmrobMT
> ### Title: Robust Fitting of Poisson Generalized Linear Models using MT
> ### robust method
> ### Aliases: glmrobMT
> ### Keywords: robust regression nonlinear
>
> ### ** Examples
>
> data(epilepsy)
> Efit1 <- glm(Ysum ~ Age10 + Base4*Trt, family=poisson, data=epilepsy)
>
> x <- model.matrix( ~ Age10 + Base4*Trt, data=epilepsy)
> poissonMTsetwd(tempdir())
> Efit2 <- glmrobMT(x=x, y=epilepsy$Ysum)
Computing initial estimate
Flavor: r-devel-linux-x86_64-fedora-clang