[PRE REVIEW]: statConfR: An R Package for Static Models of Decision Confidence and Metacognition

[editorialbot]

Submitting author: @ManuelRausch (Manuel Rausch) Repository: https://github.com/ManuelRausch/StatConfR Branch with paper.md (empty if default branch): Version: v.0.1.2 Editor: @samhforbes Reviewers: @haoxue-fan, @christinamaher Managing EiC: Olivia Guest

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.02 s (1690.9 files/s, 233808.3 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
R                               26            410            710           2513
TeX                              3             68             10            621
Markdown                         2             44              0            156
YAML                             1              1              4             18
Rmd                              1              2              6              0
-------------------------------------------------------------------------------
SUM:                            33            525            730           3308
-------------------------------------------------------------------------------

Commit count by author:

    64	Manuel Rausch
     8	Hellmann

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 791

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🟡 License found: GNU General Public License v3.0 (Check here for OSI approval)

[editorialbot]

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

OK DOIs

- 10.1016/j.concog.2017.02.007 is OK
- 10.1038/s41467-021-23540-y is OK
- 10.3758/s13414-017-1431-5 is OK
- 10.1038/s41562-019-0813-1 is OK
- 10.3758/s13414-021-02284-3 is OK
- 10.1037/a0019737 is OK
- 10.1093/nc/nix007 is OK
- 10.1037/rev0000249 is OK
- 10.7554/eLife.75420 is OK
- 10.1007/978-3-642-45190-4_3 is OK
- 10.1093/nc/niw002 is OK
- 10.1038/s41467-022-31727-0 is OK
- 10.1016/j.cognition.2020.104522 is OK
- 10.1016/j.neuroimage.2020.116963 is OK
- 10.1038/s41562-022-01464-x is OK
- 10.1037/rev0000411 is OK
- 10.1037/xge0001524 is OK
- 10.1037/met0000634 is OK
- 10.31234/osf.io/5ze8t is OK

MISSING DOIs

- No DOI given, and none found for title: Signal detection theory and psychophysics
- No DOI given, and none found for title: A signal detection theoretic method for estimating...
- No DOI given, and none found for title: Detection theory: A user’s guide
- 10.1121/1.1907783 may be a valid DOI for title: Operating Characteristics Determined by Binary Dec...
- 10.31234/osf.io/g9qzh may be a valid DOI for title: The nature of metacognitive inefficiency in percep...
- No DOI given, and none found for title: How do humans give confidence? A comprehensive com...
- No DOI given, and none found for title: Full material to "Confidence in masked orientation...
- No DOI given, and none found for title: Full material to "Measures of metacognitive effici...
- No DOI given, and none found for title: Full material to "Cognitive modelling reveals dist...
- No DOI given, and none found for title: Type 2 signal detection theory analysis using meta...
- Entry without DOI or title found
- No DOI given, and none found for title: HMeta-d

INVALID DOIs

- 10.1177/174569162210756 is INVALID

[editorialbot]

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

[crvernon]

👋 @ManuelRausch - the editor best suited to take this on is currently occupied with other reviews right now. We are going to waitlist this submission and we will get this assigned ASAP! Thank you for your patience!

[ManuelRausch]

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

OK DOIs

- 10.1016/j.concog.2017.02.007 is OK
- 10.1038/s41467-021-23540-y is OK
- 10.3758/s13414-017-1431-5 is OK
- 10.1038/s41562-019-0813-1 is OK
- 10.3758/s13414-021-02284-3 is OK
- 10.1037/a0019737 is OK
- 10.1093/nc/nix007 is OK
- 10.1037/rev0000249 is OK
- 10.7554/eLife.75420 is OK
- 10.1007/978-3-642-45190-4_3 is OK
- 10.1093/nc/niw002 is OK
- 10.1038/s41467-022-31727-0 is OK
- 10.1016/j.cognition.2020.104522 is OK
- 10.1016/j.neuroimage.2020.116963 is OK
- 10.1038/s41562-022-01464-x is OK
- 10.1037/rev0000411 is OK
- 10.1037/xge0001524 is OK
- 10.1037/met0000634 is OK
- 10.31234/osf.io/5ze8t is OK

MISSING DOIs

- No DOI given, and none found for title: Signal detection theory and psychophysics
- No DOI given, and none found for title: A signal detection theoretic method for estimating...
- No DOI given, and none found for title: Detection theory: A user’s guide
- 10.1121/1.1907783 may be a valid DOI for title: Operating Characteristics Determined by Binary Dec...
- 10.31234/osf.io/g9qzh may be a valid DOI for title: The nature of metacognitive inefficiency in percep...
- No DOI given, and none found for title: How do humans give confidence? A comprehensive com...
- No DOI given, and none found for title: Full material to "Confidence in masked orientation...
- No DOI given, and none found for title: Full material to "Measures of metacognitive effici...
- No DOI given, and none found for title: Full material to "Cognitive modelling reveals dist...
- No DOI given, and none found for title: Type 2 signal detection theory analysis using meta...
- Entry without DOI or title found
- No DOI given, and none found for title: HMeta-d

INVALID DOIs

- 10.1177/174569162210756 is INVALID

I corrected the invalid doi and added various missing dois. The remaining references without doi are books or book sections and to my best knowledge do not have doi.

[ManuelRausch]

👋 @ManuelRausch - the editor best suited to take this on is currently occupied with other reviews right now. We are going to waitlist this submission and we will get this assigned ASAP! Thank you for your patience!

No worries. We all know how it's like.

[ManuelRausch]

@editorialbot generate pdf

[editorialbot]

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

[crvernon]

@editorialbot invite @samhforbes as editor

:wave: @samhforbes - are you able to take this one on as editor?

[editorialbot]

Invitation to edit this submission sent!

[arfon]

@editorialbot generate pdf

☝ to generate the most similar paper recommendation list which has been broken for some time.

[editorialbot]

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

[editorialbot]

Five most similar historical JOSS papers:

bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework Submitting author: @DominiqueMakowski Handling editor: @cMadan (Active) Reviewers: @paul-buerkner, @tjmahr Similarity score: 0.8225

statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details Submitting author: @IndrajeetPatil Handling editor: @mikldk (Retired) Reviewers: @humanfactors, @tomfaulkenberry Similarity score: 0.8199

Empirical and non-parametric copula models with the cort R package Submitting author: @lrnv Handling editor: @pdebuyl (Active) Reviewers: @coatless, @agisga Similarity score: 0.8190

geostan: An R package for Bayesian spatial analysis Submitting author: @ConnorDonegan Handling editor: @jbytecode (Active) Reviewers: @wcjochem, @becarioprecario Similarity score: 0.8174

see: An R Package for Visualizing Statistical Models Submitting author: @strengejacke Handling editor: @fboehm (Active) Reviewers: @MatthewSmith430, @jakobbossek Similarity score: 0.8173

⚠️ 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 assign me as editor

[editorialbot]

Assigned! @samhforbes is now the editor

[samhforbes]

Hi @haoxue-fan, @lwu9 would either of you be interested in reviewing this for us?

[haoxue-fan]

happy to help :)!

[samhforbes]

@editorialbot add @haoxue-fan as reviewer

[editorialbot]

@haoxue-fan added to the reviewers list!

[samhforbes]

Hi @Sdparsons @raybecker/ would either of you be willing to review this package?

[lwu9]

Hi Sam,

After roughly looking through the project, I don't think I'm familiar with the signal detection in the project. So I'll skip this one. Thanks!

Best, Lili

On Mon, 1 Jul 2024 at 07:22, Sam Forbes @.***> wrote:

Hi @sdparsons https://github.com/sdparsons @raybecker/ would either of you be willing to review this package?

— Reply to this email directly, view it on GitHub https://github.com/openjournals/joss-reviews/issues/6680#issuecomment-2199886353, or unsubscribe https://github.com/notifications/unsubscribe-auth/AG4SWUOIRVIJUHCTPNHRWWTZKE3XPAVCNFSM6AAAAABGY35YQOVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOJZHA4DMMZVGM . You are receiving this because you were mentioned.Message ID: @.***>

[samhforbes]

No worries, thanks @lwu9

[samhforbes]

Hi @marcoapintoo @christinamaher would either of you be willing to review this package for JOSS?

[christinamaher]

Yes definitely! Happy to help.

[samhforbes]

@editorialbot add @christinamaher as reviewer

[editorialbot]

@christinamaher added to the reviewers list!

[samhforbes]

@editorialbot start review