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:
@editorialbot commands
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
@editorialbot generate pdf
Software report:
github.com/AlDanial/cloc v 1.90 T=0.03 s (1560.9 files/s, 297060.6 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code
-------------------------------------------------------------------------------
R 24 601 1525 3192
Markdown 4 161 0 331
Rmd 6 281 359 284
C++ 4 47 33 256
Jupyter Notebook 1 0 708 92
TeX 1 8 0 68
YAML 2 1 4 42
-------------------------------------------------------------------------------
SUM: 42 1099 2629 4265
-------------------------------------------------------------------------------
Commit count by author:
81 Thierry Moudiki
52 thierrymoudiki
1 Arfon Smith
1 Lucie123AL456
Paper file info:
π Wordcount for paper.md
is 1022
β
The paper includes a Statement of need
section
License info:
π΄ License found: BSD 3-Clause Clear License
(Not OSI approved)
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- None
MISSING DOIs
- 10.1016/j.csda.2017.11.003 may be a valid DOI for title: A note on the validity of cross-validation for eva...
- No DOI given, and none found for title: Modeling dependence with C-and D-vine copulas: the...
- 10.1214/ss/1177013815 may be a valid DOI for title: Bootstrap methods for standard errors, confidence ...
- No DOI given, and none found for title: Deep learning
- No DOI given, and none found for title: Forecasting: principles and practice, OTexts. org
- 10.3390/risks6010022 may be a valid DOI for title: Multiple Time Series Forecasting Using Quasi-Rando...
- No DOI given, and none found for title: VineCopula: Statistical Inference of Vine Copulas
- No DOI given, and none found for title: Density estimation for statistics and data analysi...
- 10.1007/b106715 may be a valid DOI for title: Algorithmic learning in a random world
INVALID DOIs
- None
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
:wave: @spholmes - will you give this one a nudge to get it moving? Thanks!
Hi @thiyangt , have you started this review, you can get this underway with the checklist generation with the command: @editorialbot generate my checklist Many thanks, Susan
Submitting author: !--author-handle-->@thierrymoudiki<!--end-author-handle-- (Thierry Moudiki) Repository: https://github.com/Techtonique/ahead Branch with paper.md (empty if default branch): paper Version: v0.11.0 Editor: !--editor-->@spholmes<!--end-editor-- Reviewers: @thiyant, @thiyangt 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
@thiyant & @thiyangt, 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 @spholmes know.
β¨ 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 β¨
Checklists
@thiyant, please create your checklist typing:
@editorialbot generate my checklist
@thiyangt, please create your checklist typing:
@editorialbot generate my checklist