Submitting author: @pboesu (Philipp Boersch-Supan)
Repository: https://github.com/pboesu/rucrdtw
Version: v0.1.0
Editor: @arfon
Reviewer: @masalmon
What this issue is for
Thanks for submitting your paper to JOSS @pboesu. The JOSS editor (shown at the top of this issue) will work with you on this issue to find a reviewer for your submission before creating the main review issue.
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Here's the current list of JOSS reviewers: https://github.com/openjournals/joss/blob/master/docs/reviewers.csv
馃憢 @masalmon - would you be willing to review this submission for JOSS?
Ok I will! :-)
Ok I will! :-)
Wonderful, thanks!
@whedon assign @masalmon as reviewer
OK, the reviewer is @masalmon
@whedon start review
You didn't say the magic word! Try this:
@whedon start review magic-word=bananas
@whedon start review magic-word=bananas
OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/100. Feel free to close this issue now!
@masalmon - let's continue the review over in #100
May I volunteer as a second reviewer for this? I watch the submissions feed for rOpenSci pass-throughs and this one interests me.
Thanks for you interest @noamross (And of course thanks for agreeing to review @masalmon)
I briefly considered rOpenSci for this, but felt it was in the "standalone statistical tools" category. I'd be more than happy to have a shot in making this compliant with the onboarding criteria, though, if you both think this would fit into the rOpenSci ecosystem!
Hi @pboesu. I was just telling @arfon that I'm watching this repo to track packages going from RO to JOSS through our joint submittal approach. You are correct, rucrdtw wouldn't fit in the rOpenSci scope. I just have done some time series stuff and thought I'd take the chance to explore DTW more deeply by reviewing your package.
May I volunteer as a second reviewer for this? I watch the submissions feed for rOpenSci pass-throughs and this one interests me.
Absolutely. Please feel free to also contribute your review over in #100 @noamross