[PRE REVIEW]: SpatialGEV: Fast Bayesian inference for spatial extreme value models in R

[editorialbot]

Submitting author: !--author-handle-->@meixichen<!--end-author-handle-- (Meixi Chen) Repository: https://github.com/meixichen/SpatialGEV Branch with paper.md (empty if default branch): joss Version: v1.0.1 Editor: !--editor-->@vissarion<!--end-editor-- Reviewers: @fabian-s, @fernandomayer Managing EiC: Chris Vernon

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.03 s (2047.4 files/s, 246053.6 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
R                               37            146            932           2086
C/C++ Header                    15            234           1139           1342
Markdown                         2             61              0            327
TeX                              2             52              0            304
YAML                             2             12              6             58
C++                              2              4              2             53
Rmd                              2            138            511             44
-------------------------------------------------------------------------------
SUM:                            62            647           2590           4214
-------------------------------------------------------------------------------

Commit count by author:

   156  meixichen
    23  m372chen
     9  mlysy
     3  Meixi Chen

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 2092

✅ 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

- None

MISSING DOIs

- No DOI given, and none found for title: Fast and Scalable Approximate Inference for Spatia...
- 10.2307/2287970 may be a valid DOI for title: Accurate Approximations for Posterior Moments and ...
- No DOI given, and none found for title: Inference and computation with generalized additiv...
- 10.1016/j.spasta.2022.100599 may be a valid DOI for title: The SPDE approach for Gaussian and non-Gaussian fi...
- 10.1016/s0167-4730(98)00015-0 may be a valid DOI for title: Extreme Value Modelling of Hurricane Wind Speeds
- 10.1198/016214506000000780 may be a valid DOI for title: Bayesian Spatial Modeling of Extreme Precipitation...
- 10.1007/s10687-009-0098-2 may be a valid DOI for title: A Comparison Study of Extreme Precipitation from S...
- 10.1002/env.2301 may be a valid DOI for title: Bayesian Hierarchical Modeling of Extreme Hourly P...
- 10.1016/j.jhydrol.2015.09.023 may be a valid DOI for title: A Spatial Model to Examine Rainfall Extremes in Co...
- 10.1201/b10905-6 may be a valid DOI for title: MCMC Using Hamiltonian Dynamics
- No DOI given, and none found for title: The No-U-Turn Sampler: Adaptively Setting Path Len...
- No DOI given, and none found for title: RStan: the R interface to Stan
- 10.1007/s13253-009-0010-1 may be a valid DOI for title: Continuous Spatial Process Models for Spatial Extr...
- No DOI given, and none found for title: Bayesian Spatial Modelling with R-INLA
- 10.1111/j.1467-9868.2011.00777.x may be a valid DOI for title: An explicit link between Gaussian fields and Gauss...
- No DOI given, and none found for title: TMB: Automatic Differentiation and Laplace Approxi...
- No DOI given, and none found for title: A Unifying View of Sparse Approximate Gaussian Pro...
- No DOI given, and none found for title: Understanding the Stochastic Partial Differential ...
- No DOI given, and none found for title: SpatialExtremes: Modelling Spatial Extremes
- No DOI given, and none found for title: \textttmgcv: Mixed GAM Computation Vehicle with Au...
- No DOI given, and none found for title: \textttevgam: An R Package for Generalized Additiv...

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:

[crvernon]

:wave: @meixichen - while we are waiting to get you a topic editor assigned to take your submission on, please try to reduce the length of the paper to around 1000 words or less. You can likely shift some of the content currently in your paper to your documentation and reference it as such. Thanks!

[crvernon]

@editorialbot invite @vissarion as editor

👋 @vissarion can you take this one on as editor?

[editorialbot]

Invitation to edit this submission sent!

[vissarion]

@editorialbot assign me as editor

[editorialbot]

Assigned! @vissarion is now the editor

[vissarion]

Hi @fabian-s, @Pentaonia, @vankesteren, @wcjochem, @jayrobwilliams, @fernandomayer would any of you be 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

[fabian-s]

@vissarion yeah, i can take this on.

[vissarion]

@editorialbot add @fabian-s as reviewer

[editorialbot]

@fabian-s added to the reviewers list!

[fernandomayer]

@vissarion, yes, I can do this review

[vissarion]

@editorialbot add @fernandomayer as reviewer

[editorialbot]

@fernandomayer added to the reviewers list!

[vissarion]

Thanks @fernandomayer, @fabian-s for your quick replies!

I am starting the review thread now.

[vissarion]

@editorialbot start review

[editorialbot]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/6878.