Last updated on 2026-07-11 00:51:41 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2.7-6 | 69.55 | 222.90 | 292.45 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 2.7-6 | 61.85 | 116.47 | 178.32 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 2.7-6 | 98.00 | 343.47 | 441.47 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 2.7-6 | 145.00 | 326.78 | 471.78 | OK | |
| r-devel-windows-x86_64 | 2.7-6 | 85.00 | 210.00 | 295.00 | OK | |
| r-patched-linux-x86_64 | 2.7-6 | 88.85 | 204.80 | 293.65 | OK | |
| r-release-linux-x86_64 | 2.7-6 | 85.63 | 206.53 | 292.16 | OK | |
| r-release-macos-arm64 | 2.7-6 | 16.00 | 42.00 | 58.00 | OK | |
| r-release-macos-x86_64 | 2.7-6 | 51.00 | 193.00 | 244.00 | OK | |
| r-release-windows-x86_64 | 2.7-6 | 84.00 | 210.00 | 294.00 | OK | |
| r-oldrel-macos-arm64 | 2.7-6 | OK | ||||
| r-oldrel-macos-x86_64 | 2.7-6 | 47.00 | 176.00 | 223.00 | OK | |
| r-oldrel-windows-x86_64 | 2.7-6 | 120.00 | 274.00 | 394.00 | OK |
Version: 2.7-6
Check: CRAN incoming feasibility
Result: NOTE
Maintainer: ‘Matteo Quartagno <m.quartagno@ucl.ac.uk>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Matteo",
family = "Quartagno",
role = c("aut", "cre"),
email = "m.quartagno@ucl.ac.uk"),
person(given = "James",
family = "Carpenter",
role = "aut"))
as necessary.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 2.7-6
Check: examples
Result: ERROR
Running examples in ‘jomo-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: jomo.glmer
> ### Title: Joint Modelling Imputation Compatible with Generalized Linear
> ### Mixed Model
> ### Aliases: jomo.glmer
>
> ### ** Examples
>
>
> # make sure sex is a factor:
>
> cldata<-within(cldata, sex<-factor(sex))
>
> # we define the data frame with all the variables
>
> data<-cldata[,c("measure","age", "sex", "city")]
>
> # And the formula of the substantive lm model
> # sex as an outcome only because it is the only binary variable in the dataset...
>
> formula<-as.formula(sex~age+measure+(1|city))
>
> #And finally we run the imputation function:
>
> imp<-jomo.glmer(formula,data, nburn=2, nbetween=2, nimp=2)
This function is beta software. Please use carefully and report any bug to the package mantainer
Error: Downdated VtV is not positive definite
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc