[PRE REVIEW]: ProMCDA: A Python package for Probabilistic Multi-Criteria Decision Analysis

[editorialbot]

Submitting author: !--author-handle-->@Flaminietta<!--end-author-handle-- (Flaminia Catalli) Repository: https://github.com/wetransform-os/ProMCDA Branch with paper.md (empty if default branch): main Version: v1.0.8 Editor: !--editor-->@galessiorob<!--end-editor-- Reviewers: @limengbinggz, @B3J4y Managing EiC: Olivia Guest

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Software report:

github.com/AlDanial/cloc v 1.88  T=0.07 s (354.7 files/s, 57217.0 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
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Python                          18            493            306           2030
HTML                             1             84              5            620
Markdown                         2             73              0            256
TeX                              1             16              0            220
YAML                             3              8              2             58
JSON                             1              4              0             19
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SUM:                            26            678            313           3203
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gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 1415

[editorialbot]

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

OK DOIs

- 10.1007/s10669-020-09784-x is OK
- 10.1016/j.envsoft.2021.105208 is OK
- 10.1016/S0377-2217(97)00163-X is OK
- 10.1016/j.dss.2022.113848 is OK
- 10.21105/joss.04567 is OK
- 10.1016/j.envsoft.2020.104890 is OK
- 10.1016/j.omega.2017.04.007 is OK
- 10.1007/978-1-4757-2500-1_2 is OK
- 10.1007/0-387-31099-1_2 is OK
- 10.1007/s11205-017-1832-9 is OK
- 10.1016/j.ecolind.2018.06.009 is OK
- 10.1016/j.ecolind.2019.105731 is OK
- 10.1016/j.ijggc.2016.08.023 is OK
- 10.1007/978-1-4939-3094-4_12 is OK
- 10.1016/j.ecolind.2014.05.014 is OK

MISSING DOIs

- None

INVALID DOIs

- None

[oliviaguest]

@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:

[editorialbot]

Five most similar historical JOSS papers:

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IDCeMPy: Python Package for Inflated Discrete Choice Models Submitting author: @hknd23 Handling editor: @galessiorob (Active) Reviewers: @cmaimone, @jungtaekkim, @tmickleydoyle Similarity score: 0.8098

ELDAM: A Python software for Life Cycle Inventory data management Submitting author: @GustaveCoste Handling editor: @sjpfenninger (Retired) Reviewers: @konstantinstadler, @romainsacchi Similarity score: 0.8061

pymcmcstat: A Python Package for Bayesian Inference Using Delayed Rejection Adaptive Metropolis Submitting author: @prmiles Handling editor: @katyhuff (Retired) Reviewers: @djmitche, @katyhuff Similarity score: 0.8057

⚠️ 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.

[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:

Moead-framework: a modular MOEA/D Python framework Submitting author: @geoffreyp Handling editor: @melissawm (Retired) Reviewers: @sjvrijn, @chkoar Similarity score: 0.8233

PRDA: An R package for Prospective and Retrospective Design Analysis Submitting author: @ClaudioZandonella Handling editor: @cMadan (Active) Reviewers: @DominiqueMakowski, @mmrabe Similarity score: 0.8161

IDCeMPy: Python Package for Inflated Discrete Choice Models Submitting author: @hknd23 Handling editor: @galessiorob (Active) Reviewers: @cmaimone, @jungtaekkim, @tmickleydoyle Similarity score: 0.8098

ELDAM: A Python software for Life Cycle Inventory data management Submitting author: @GustaveCoste Handling editor: @sjpfenninger (Retired) Reviewers: @konstantinstadler, @romainsacchi Similarity score: 0.8061

pymcmcstat: A Python Package for Bayesian Inference Using Delayed Rejection Adaptive Metropolis Submitting author: @prmiles Handling editor: @katyhuff (Retired) Reviewers: @djmitche, @katyhuff Similarity score: 0.8057

⚠️ 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.

[oliviaguest]

@galessiorob do you have capacity for this?

[galessiorob]

I do, happy to edit!

@editorialbot add @galessiorob as editor

[galessiorob]

Hi @Flaminietta!

I'm looking forward to working with you on this review. I'll send out review invites shortly, and once we have at least two reviewers we can open a fresh issue (the actual review issue.) If you have any suggestions for reviewers, please let me know (post a comment with their handles), and I can reach out to them.

[galessiorob]

@editorialbot add @galessiorob as editor

[editorialbot]

Assigned! @galessiorob is now the editor

[galessiorob]

@editorialbot add @limengbinggz as reviewer

[editorialbot]

@limengbinggz added to the reviewers list!

[Flaminietta]

Hi @galessiorob! One suggestion for a second reviewer might be @paulrougieux who reviewed the CoinR JOSS paper cited in our references.

[galessiorob]

@editorialbot add @B3J4y as reviewer

[editorialbot]

@B3J4y added to the reviewers list!

[galessiorob]

@editorialbot start review

[editorialbot]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/6190.