Last updated on 2024-05-02 13:50:09 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.3-5 | 5.60 | 53.79 | 59.39 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.3-5 | 4.16 | 43.12 | 47.28 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.3-5 | 73.01 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.3-5 | 73.20 | OK | |||
| r-devel-windows-x86_64 | 0.3-5 | 7.00 | 67.00 | 74.00 | OK | |
| r-patched-linux-x86_64 | 0.3-5 | 6.86 | 55.36 | 62.22 | OK | |
| r-release-linux-x86_64 | 0.3-5 | 5.23 | 55.29 | 60.52 | OK | |
| r-release-macos-arm64 | 0.3-5 | 30.00 | OK | |||
| r-release-windows-x86_64 | 0.3-5 | 7.00 | 67.00 | 74.00 | OK | |
| r-oldrel-macos-arm64 | 0.3-5 | 37.00 | OK | |||
| r-oldrel-macos-x86_64 | 0.3-5 | 46.00 | OK | |||
| r-oldrel-windows-x86_64 | 0.3-5 | 7.00 | 73.00 | 80.00 | 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
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