On Fri, 1 Sep 2023 08:14:12 +
Hanyu Song wrote:
> b. I read from the documentation of the R package "reticulate" that
> we should delay load the Python modules, but it is not entirely clear
> to me how to do it.
> Do I need to create any virtual environment?
Not in the package code (unless
Have you consider translating ctef into R ?
This would remove the dependencies and make your package much more robust.
And would make it much easier to pass CRAN checks.
Looking at ctef code it is pure Python and there aren't many lines. And in
my experience, one line of R is worth 10 lines o
Hello,
I am writing an R package that depends on a very uncommonly used Python module
named "ctef" and I have several questions about it:
a. How shall I write examples for the functions that depend on the Python
module? Shall I just do:
#' @examplesIf reticulate::py_module_available('ctef')
#'
В Fri, 1 Sep 2023 08:26:32 -0400
Matt Dancho пишет:
> Check: tests, Result: NOTE
> Running 'testthat.R' [20s/7s]
>Running R code in 'testthat.R' had CPU time 2.7 times elapsed time
>
> Flavor: r-devel-linux-x86_64-debian-gcc
> Check: re-building of vignette outputs, Result: NOTE
>Re
Hello,
First time caller. Long time listener. I have an issue identified in my
Modeltime R package version 1.2.8 CRAN submission.
*CRAN Issue*
Flavor: r-devel-linux-x86_64-debian-gcc
Check: tests, Result: NOTE
Running 'testthat.R' [20s/7s]
Running R code in 'testthat.R' had CPU time 2.7 t
