-
Notifications
You must be signed in to change notification settings - Fork 28
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Distribute Covidm as a package? #7
Comments
Hi Mark,
Thanks for your message. Interesting work! We are working on releasing the
code more generally so that others can use it as you have suggested. This
code for release with the UK scenario analysis paper is a bit earlier in
development than the newest versions of the code.
I'm busy this weekend with other things, but let's keep in touch.
Nick
…On Fri, 12 Jun 2020 at 22:41, M4rkD ***@***.***> wrote:
Hi, hope you're all well.
I'm interested in the "core" covidm code that you've shared as part of
this repository. Would you be interested in seeing the "guts" of this code
shared as a stand-alone R library?
I've made a start at making this a stand-alone package (i.e. without the
UK.R and UK-view.R scripts).
It's still a work in progress. It can be installed as a package on my
machine, but it still depends on explicit paths to the GSL binary for my
installation (Ubuntu). I also have a version of the UK.R script that runs
against this as a library, which I'm also happy to share in another
repository.
If your time is constrained, I'm happy to act as a maintainer for the
package for the time being. On the other hand, I would also be happy to
hand it over and fork your copy if you have the time and inclination to do
it yourselves.
As someone interested in using and extending your code, it would be nice
to see a definitive version of this "core" distributed as an R package, so
that it's easy to write software (and other packages) that use it.
Do you think that using, developing and distributing this code as a
package is an approach that you would be interested in adopting?
I expect this approach could encourage others to build (hopefully)
sophisticated tooling around the excellent work you've already done.
It might be idealist in me, but it would be nice if everyone was able to
working on a common code base, and share the latest and greatest
changes/developments.
The package I've started building can be found here:
https://github.com/M4rkD/covidm
As I noted, it is a work in progress.
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub
<#7>, or unsubscribe
<https://github.com/notifications/unsubscribe-auth/AD7GC5ZZ62VFOF4UT5VAP7DRWKOJNANCNFSM4N4VI72A>
.
|
I'm more than happy for the work in M4rkD/covidm to be used as a basis for other versions as a package, or I'm more than happy to help repeat the same process on updated versions of the code. I'll drop you a note by email, if you don't mind, so that you have a point of contact. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi, hope you're all well.
I'm interested in the "core" covidm code that you've shared as part of this repository. Would you be interested in seeing the "guts" of this code shared as a stand-alone R package?
I've made a start at making this a stand-alone package. This is still a work in progress, and may not work seamlessly on any machines quite yet. I have a version of the UK.R script (with some minor tweaks) that is standalone bar a "library(covidm)" call at the top of the script. I'm also happy to share this if you like.
As someone interested in using and extending your code, it would be nice to see a definitive version of this "core" available as an R package, so that it's easy to write software that use it.
Do you think that using, developing and distributing this code as a package is an approach that you would be interested in adopting?
I understand if you're time is constrained. If time it is the limitation, I'm happy to act as a maintainer for the package for the time being. Having said that, I would also be more than happy to hand it over and fork your copy if you have the time and inclination to maintain it yourselves.
I expect this approach could encourage others to build (hopefully) sophisticated tooling around the excellent work you've already done.
It might be idealist in me speaking, but it would be nice if everyone interested was able to contribute to a common code base, and share the latest and greatest changes/developments.
The package I've started building can be found here: https://github.com/M4rkD/covidm
As I noted, it is a work in progress, but I don't think it's far from complete.
The text was updated successfully, but these errors were encountered: