Open editorialbot opened 1 month ago
Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks.
For a list of things I can do to help you, just type:
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For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
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Software report:
github.com/AlDanial/cloc v 1.90 T=0.03 s (2017.8 files/s, 242489.1 lines/s)
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Language files blank comment code
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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
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SUM: 62 647 2590 4214
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Commit count by author:
156 meixichen
23 m372chen
9 mlysy
3 Meixi Chen
Paper file info:
📄 Wordcount for paper.md
is 2092
✅ The paper includes a Statement of need
section
License info:
🟡 License found: GNU General Public License v3.0
(Check here for OSI approval)
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
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
@meixichen could you try finding/adding the missing DOIs? (see above)
Thanks @fabian-s for noting this. @meixichen please also try to reduce the length of the submission (following this pre-review-comment https://github.com/openjournals/joss-reviews/issues/6861#issuecomment-2157993938)
Thanks for reviewing this manuscript and package. I will shorten the paper and add the missing DOIs.
@editorialbot generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
@editorialbot check repository
Software report:
github.com/AlDanial/cloc v 1.90 T=0.03 s (2015.3 files/s, 237836.6 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code
-------------------------------------------------------------------------------
R 37 146 932 2086
C/C++ Header 15 234 1139 1342
TeX 2 54 0 314
Markdown 2 46 0 196
YAML 2 12 6 58
C++ 2 4 2 53
Rmd 2 138 511 44
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SUM: 62 634 2590 4093
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Commit count by author:
158 meixichen
23 m372chen
9 mlysy
3 Meixi Chen
Paper file info:
📄 Wordcount for paper.md
is 847
✅ The paper includes a Statement of need
section
License info:
🟡 License found: GNU General Public License v3.0
(Check here for OSI approval)
@editorialbot generate pdf
@editorialbot check repository
Software report:
github.com/AlDanial/cloc v 1.90 T=0.03 s (1911.5 files/s, 227994.9 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code
-------------------------------------------------------------------------------
R 37 146 932 2086
C/C++ Header 15 234 1139 1342
TeX 2 54 0 314
Markdown 2 55 0 265
YAML 2 12 6 58
C++ 2 4 2 53
Rmd 2 138 511 44
-------------------------------------------------------------------------------
SUM: 62 643 2590 4162
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Commit count by author:
159 meixichen
23 m372chen
9 mlysy
3 Meixi Chen
Paper file info:
📄 Wordcount for paper.md
is 1494
✅ The paper includes a Statement of need
section
License info:
🟡 License found: GNU General Public License v3.0
(Check here for OSI approval)
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Hello, I wonder if 1494 word count is still considered too long? Thanks!
Contribution and authorship:
Seems like only @meixichen has a meaningful number of commits here -- what are the contributions of the other two authors? The only commit of @mlysy from 4 years ago (https://github.com/meixichen/SpatialGEV/commit/47be58e10ef277a041d2c60817e10252939bad63) seems more like housekeeping to me and, in any case, git blame (https://github.com/meixichen/SpatialGEV/blame/master/inst/include/SpatialGEV/utils.hpp) seems to indicate that very little none of the code committed by them back then still remains part of the codebase?
Automated tests: test coverage seems to be rather low, see meixichen/SpatialGEV#14
Community guidelines: you should add a CONTRIBUTING.md or similar to the repo, see https://contributing.md/example/ e.g.
Functionality: Neither the package vignette nor the JOSS paper provide examples or details on how covariate information is included in the model. Are these linear effects? If so, how are the coefficients sampled and based on which priors? Do the covariates need to be scaled/centered?
Documentation:
Your github README.md and your vignette use y
as the first argument to spatialGEV_fit
, the package and the JOSS paper use data
, this seems to have diverged.
@meixichen any news re. my questions/requests above?
@meixichen any news re. my questions/requests above?
@fabian-s Regarding https://github.com/meixichen/SpatialGEV/issues/14 I have merged joss with master and added more unittests. Test coverage is close to 90% now https://app.codecov.io/github/meixichen/SpatialGEV/tree/master
I am still working on the other requests and will reply here after I am done with them. For authorship, many conversations about functionalities and code design were done off-line or over emails. Some of mlysy's code were in the joss branch and were not reflected in master, but now after merging the joss into master we should see it.
Hello @fabian-s , regarding the issues you flagged, I have made the following changes:
Any comments or suggestions? Thank you very much!
Hi @fernandomayer just checking if there are any issues that blocks you to start with your review.
Thanks, I closed the issue.
The example with covariates in your vignette does not work: https://github.com/meixichen/SpatialGEV/blob/61466b5dde6e5f36965f2244fd8034224076cac3/vignettes/SpatialGEV-vignette.Rmd#L314C1-L340C1 is all just error messages...? If I re-compile it locally, it works fine, though:
I don't really think it makes sense to include this vignette "pre-compiled" as you're doing now, it doesn't take that long to run and it's bad practice to do so anyway, to avoid exactly this kind of problem. You also provide the wrong paths to your image files in that pre-compiled fake vignette (the paths are `figures/bla.png', but the files are not in that subdirectory, it does not exist....)
@vissarion not sure what your editorial standards are re. R packages. This is currently not fully standards compliant and would not pass R CMD check --as-cran, see https://github.com/meixichen/SpatialGEV/issues/22, but I can check off all checklist items in good conscience here.
@fabian-s there are no editorial standard specifically for R packages. The general rule "packaged appropriately according to common community standards for the programming language being used", could mean that R CMD check
should pass but not necessarily R CMD check --as-cran
. But still I am not saying that R CMD check
is a requirement for JOSS acceptance but rather a useful tool to indicate if the submitted software is appropriately packaged.
sure, I know, I also do editor-stuff for JOSS - that's why I said your standards ;)
FWIW, the NOTES/WARNINGS/ERROS don't seem that serious to me, the package can be installed in the standard way and it runs, including examples etc.
If it were my call, I would still request to make it CRAN-compliant s.t. the version of the package presented in the paper is more similar/identical to the respective CRAN version.
I agree that it would be nice to make it CRAN-compliant. Though I would not like this to be a blocking issue. To my understanding there is not much work towards this goal (and in any case maybe that work will be done anyways to update the current CRAN package). @meixichen do you agree to make this package pass R CMD check --as-cran
in the course of JOSS submission?
@fabian-s @vissarion I agree with you both. I have pushed the new changes on the vignette, which is now no longer pre-compiled. Passed the check for me:
checking files in 'vignettes' ... OK
* checking examples ... OK
* checking for unstated dependencies in 'tests' ... OK
* checking tests ... [41s] OK
Running 'testthat.R' [41s]
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... [410s] OK
* checking PDF version of manual ... [21s] OK
* checking HTML version of manual ... OK
* DONE
Passed the check for me:
for me as well
Hi @fernandomayer just checking if there are any issues that blocks you to start with your review.
@vissarion Sorry for the delay. I'll be starting my review this week, planning to finalise it mid-next week.
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 Archive: Pending
Status
Status badge code:
Reviewers and authors:
Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)
Reviewer instructions & questions
@fabian-s & @fernandomayer, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review. First of all you need to run this command in a separate comment to create the checklist:
The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @vissarion know.
✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨
Checklists
📝 Checklist for @fabian-s