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Retirement of SocialSciences task view #8

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zeileis opened this issue Dec 18, 2021 · 17 comments
Closed

Retirement of SocialSciences task view #8

zeileis opened this issue Dec 18, 2021 · 17 comments

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@zeileis
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zeileis commented Dec 18, 2021

The existing Social Sciences task view is one of the old existing task views that was useful when it was introduced but turned out to be too broad to be useful. John Fox @john-d-fox and I both agree on this and it would probably be better to establish separate task views for topics like: mixed-effects models, social network analysis, demography, and possibly causal analysis or matching/propensity scores. Unless there are any objects I therefore suggest:

  • We retire the SocialSciences task view immediately (still in the SVN on R-Forge).
  • When we announce the possibility of proposing new task views, we reach out to some people who might be willing to put together task views on the topics above.
@tuxette
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tuxette commented Dec 28, 2021

I agree with a few comments:

  • I suppose that you are aware that some people have already been working on a task view on causal analysis, which is (as far as I know) almost ready to be submitted?
  • I wonder if the task view "social network analysis" is not a bit overlapping "graphical models"?

@zeileis
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zeileis commented Dec 28, 2021

Thanks, Nathalie @tuxette !

Causal inference: Julie Josse once mentioned to me that she might be interested in putting together a task view on that topic but that was 2.5 years ago and I hadn't heard back since.

Social network analysis: I'm not sure how much overlap there really is but I'll mention it to Søren in a separate issue.

@john-d-fox
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john-d-fox commented Dec 28, 2021 via email

@zeileis
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zeileis commented Dec 28, 2021

I personally also lean more towards a separate task view but wanted to get Søren's opinion on this.

@john-d-fox
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john-d-fox commented Dec 28, 2021 via email

@eddelbuettel
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@john-d-fox You email setup makes replies borderline readable. Can you consider another email client, or answers here? Editing your second answer down to something more useful.

@john-d-fox
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Dirk,

Until recently, I used the Thunderbird email client, which was easily configurable, but my university IT department now requires use of either the Outlook or Apple Mail clients, or Outlook web mail. I'm using the Outlook email client, and have found it frustrating.

OTOH, I just looked at my messages in this thread on GitHub, and, apart from a bad line break and a typo in my first message, they seem perfectly intelligible to me.

My second message concerns coordinating a new social networks task view, should one materialize, with the existing graphical models task view. That, of course, would be up to the maintainers of the two task views. Is that sufficiently clear?

John

@eddelbuettel
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Well yes, after I edited them. Mail replies often leave the quoted trail, and GitHub is clever enough to not show that for the forms it recognized. But that failed here. But what was a first I had never seen in all those years is that the mailer you used (possibly in the way IT configured it) also spammed in thirty or so lines of CSS. Which is fine and well if done in a way that GitHub can filter it which it didn't here. It's quick enough to edit out as a one-off (via the the '...' menu entry) but can get repetitive. The much better news is that this reply of your has neither shortcoming. So thank you!

@john-d-fox
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Now I understand -- the message was garbled before you edited it. Thanks for that (and I've now fixed the typo and bad line break).

I managed a while ago to configure Outlook so that it sends plain-text emails by default, but I can't get it to reply in plain text to HTML emails. As I said in my previous message, I wish that I could use a better email client, but I can't.

I'll simply continue to avoid using email to reply to GitHub messages.

@robjhyndman
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Maybe @timriffe would be interested in doing a Demography task view?

@timriffe
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timriffe commented Mar 3, 2022

@robjhyndman sure but I couldn't dedicate much time until May/June. But it wouldn't be too hard to rally support, would it @MJAlexander ?

@zeileis
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zeileis commented Mar 3, 2022

Thanks for the suggestion Rob @robjhyndman and for the follow-up Tim @timriffe , this is very much appreciated. Time is not crucial here. If you and a couple of potential co-maintainers like @MJAlexander would put together a first proposal, then we (the CRAN Task View Editors) can have a look and you will still have enough time to come up with the actual first version of the full task view. The guidelines for proposing a new task view are described at: https://github.com/cran-task-views/ctv/blob/main/Proposal.md. Let us know if you need more information or feedback etc.

@zeileis
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zeileis commented Mar 6, 2022

OK, thanks everyone for the discussion so far. I will close this issue now and just note some ideas and concrete plans:

Further "spin-offs" might be considered in the future as well.

@zeileis zeileis closed this as completed Mar 6, 2022
@john-d-fox
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john-d-fox commented Mar 6, 2022 via email

@zeileis
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zeileis commented Mar 6, 2022

Thanks, I agree. They would be a natural group to ask.

@john-d-fox
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Yet another suggestion: I originally mentioned a mixed-effects models taskview as one possible partial successor to the social-sciences taskview. A natural person to approach about that would be Ben Bolker. I do know him and could approach him, if that would be helpful. (And is someone planning to follow up with the statnet folks about a social networks taskview?)

@zeileis
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zeileis commented Mar 7, 2022

We're currently working towards the first official release of the task views based on the new infrastructure. So I would like to get this out first before starting to invite new task view proposals.

Also, in case of the mixed-effects topic I'm not completely sure that this would be the best way to encapsulate a new topic. There is a lot of overlap with existing task views and it would exclude non-mixed-effects methods for the same kind of data (longitudinal, panel, multi-level), e.g., OLS variants or GEE.

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