[PRE REVIEW]: FIGARO: hierarchical non-parametric inference for population studies

[editorialbot]

Submitting author: !--author-handle-->@sterinaldi<!--end-author-handle-- (Stefano Rinaldi) Repository: https://github.com/sterinaldi/FIGARO Branch with paper.md (empty if default branch): joss-paper Version: v1.5.3 Editor: !--editor-->@dfm<!--end-editor-- Reviewers: @dgerosa, @Uddiptaatwork Managing EiC: Dan Foreman-Mackey

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.88  T=0.07 s (921.3 files/s, 114651.4 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          21            626           1525           3152
Markdown                         6             80              0            390
TeX                              1             10              0            179
Jupyter Notebook                 1              0            675            148
reStructuredText                27            304            184             61
TOML                             1              6              0             58
INI                              1              1              0             29
YAML                             2              5              6             28
-------------------------------------------------------------------------------
SUM:                            60           1032           2390           4045
-------------------------------------------------------------------------------

gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 959

[editorialbot]

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

OK DOIs

- 10.1093/mnras/stab3224 is OK
- 10.1093/mnrasl/slac101 is OK
- 10.48550/arXiv.2308.12182 is OK
- 10.1140/epjc/s10052-023-12078-6 is OK
- 10.1093/mnras/stad2768 is OK
- 10.1103/PhysRevD.108.123039 is OK
- 10.1140/epjc/s10052-023-11754-x is OK
- 10.1038/s41592-019-0686-2 is OK

MISSING DOIs

- 10.2307/2291069 may be a valid DOI for title: Bayesian Density Estimation and Inference Using Mixtures

INVALID DOIs

- None

[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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[dfm]

@sterinaldi — Thanks for your submission! All the suitable JOSS editors are currently working at capacity so I'm going to "waitlist" this review until an editor with the relevant expertise is available to take it on. Thanks for your patience!

[dfm]

@editorialbot assign me as editor

@sterinaldi — Thanks for your patience! I'm now available to edit this submission. My first step is to recruit two reviewers. If you have any recommendations from this list or your professional networks, please feel free to suggest them.

[editorialbot]

Assigned! @dfm is now the editor

[dfm]

:wave: @wvanzeist, @dgerosa, @maxisi, @Uddiptaatwork — Would any of you be available and willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html

[dfm]

@editorialbot add @dgerosa as reviewer

Thanks @dgerosa for agreeing to review this submission!! I'm still looking for a second reviewer and we'll get the review thread started as soon as we have them lined up.

[editorialbot]

@dgerosa added to the reviewers list!

[Uddiptaatwork]

@dfm @editorialbot I am happy to review.

[dfm]

@editorialbot add @Uddiptaatwork as reviewer

Thanks @Uddiptaatwork for agreeing to review!!

I'll get the main review started in a new thread and we'll continue our conversation over there.

[editorialbot]

@Uddiptaatwork added to the reviewers list!

[dfm]

@editorialbot start review

[editorialbot]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/6589.