[PRE REVIEW]: FedIRT: An R package and Shiny app for estimating federated item response theory models

[editorialbot]

Submitting author: !--author-handle-->@trtfj<!--end-author-handle-- (Feng Ji) Repository: https://github.com/Feng-Ji-Lab/FedIRT Branch with paper.md (empty if default branch): Version: v0.1.0 Editor: Pending Reviewers: Pending Managing EiC: Arfon Smith

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.03 s (2321.9 files/s, 212728.6 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
R                               55            415            841           2555
XML                              2             11              0           1243
CSV                              5              0              0            501
Markdown                         3            153              0            344
TeX                              1              1              0             94
YAML                             2             11              6             55
-------------------------------------------------------------------------------
SUM:                            68            591            847           4792
-------------------------------------------------------------------------------

Commit count by author:

    51  BiyingZhou
     9  Biying Zhou
     5  trtfj

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.4324/9781410605269 is OK
- 10.48550/arXiv.2012.01973 is OK
- 10.18637/jss.v048.i06 is OK
- 10.18637/jss.v017.i05 is OK
- 10.48550/arXiv.1610.05492 is OK
- 10.18637/jss.v020.i05 is OK
- 10.1007/BF02293801 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Communication-efficient learning of deep networks ...
- No DOI given, and none found for title: Federated Psychometrics: A Distributed, Privacy-pr...
- No DOI given, and none found for title: Federated Item Response Theory: A Distributed, Pri...
- No DOI given, and none found for title: Federated Item Response Models
- No DOI given, and none found for title: Predictive Modeling of Uniform Differential Item F...

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1819

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🟡 License found: Other (Check here for OSI approval)

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[samhforbes]

@editorialbot invite @sappelhoff as editor

@sappelhoff might you be able to look at this one?

[editorialbot]

Invitation to edit this submission sent!

[sappelhoff]

Hey @samhforbes this is unfortunately quite far away from both my software expertise and science domain of knowledge, so I'd rather have someone else edit it. I could potentially jump in as a last resort if no one else can be found.

[samhforbes]

@editorialbot invite @ajstewartlang as editor

@ajstewartlang do you think you could manage this one when you have space?

[editorialbot]

Invitation to edit this submission sent!

[ajstewartlang]

@editorialbot invite @ajstewartlang as editor

@ajstewartlang do you think you could manage this one when you have space?

Thanks @samhforbes but I'm afraid I'm going to have to step back from editing duties for a while due to bandwidth constraints.

[samhforbes]

Got it, no worries @ajstewartlang