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[PRE REVIEW]: rmstBayespara: An R Package for Bayesian Parametric Restricted Mean Survival Time #7440

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editorialbot opened this issue Nov 8, 2024 · 49 comments
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pre-review query-scope Submissions of uncertain scope for JOSS R rejected TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

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editorialbot commented Nov 8, 2024

Submitting author: @masahikoji (Masahiro Kojima)
Repository: https://github.com/masahikoji/rmstBayespara_paper
Branch with paper.md (empty if default branch): joss-paper
Version: v1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Chris Vernon

Status

status

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HTML: <a href="https://joss.theoj.org/papers/c905f55c64c5b584a9dd3b13744c5f9f"><img src="https://joss.theoj.org/papers/c905f55c64c5b584a9dd3b13744c5f9f/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/c905f55c64c5b584a9dd3b13744c5f9f/status.svg)](https://joss.theoj.org/papers/c905f55c64c5b584a9dd3b13744c5f9f)

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Thanks for submitting your paper to JOSS @masahikoji. Currently, there isn't a JOSS editor assigned to your paper.

@masahikoji if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

Editor instructions

The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:

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@editorialbot editorialbot added pre-review Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning labels Nov 8, 2024
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Hello human, 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

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masahikoji commented Nov 8, 2024 via email

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masahikoji commented Nov 8, 2024 via email

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Hello @masahikoji, here are the things you can ask me to do:


# List all available commands
@editorialbot commands

# Get a list of all editors's GitHub handles
@editorialbot list editors

# Adds a checklist for the reviewer using this command
@editorialbot generate my checklist

# Set a value for branch
@editorialbot set joss-paper as branch

# Run checks and provide information on the repository and the paper file
@editorialbot check repository

# Check the references of the paper for missing DOIs
@editorialbot check references

# Generates the pdf paper
@editorialbot generate pdf

# Generates a LaTeX preprint file
@editorialbot generate preprint

# Get a link to the complete list of reviewers
@editorialbot list reviewers

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masahikoji commented Nov 8, 2024 via email

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Done! branch is now joss-paper

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masahikoji commented Nov 8, 2024 via email

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masahikoji commented Nov 8, 2024 via email

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masahikoji commented Nov 8, 2024 via email

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masahikoji commented Nov 8, 2024 via email

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masahikoji commented Nov 8, 2024 via email

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masahikoji commented Nov 8, 2024 via email

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masahikoji commented Nov 8, 2024 via email

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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Five most similar historical JOSS papers:

survPen: an R package for hazard and excess hazard modelling with multidimensional penalized splines
Submitting author: @fauvernierma
Handling editor: @csoneson (Active)
Reviewers: @corybrunson, @seabbs
Similarity score: 0.7007

MatSurv: Survival analysis and visualization in MATLAB
Submitting author: @jhcreed
Handling editor: @cMadan (Retired)
Reviewers: @dsurujon, @ManuelaS
Similarity score: 0.6974

Fitting a Gamma-Gompertz survival model to capture-recapture data collected on free-ranging animal populations
Submitting author: @oliviergimenez
Handling editor: @karthik (Retired)
Reviewers: @bbolker
Similarity score: 0.6893

SurPyval: Survival Analysis with Python
Submitting author: @derrynknife
Handling editor: @dfm (Active)
Reviewers: @CamDavidsonPilon, @MatthewReid854
Similarity score: 0.6870

aorsf: An R package for supervised learning using the oblique random survival forest
Submitting author: @bcjaeger
Handling editor: @danielskatz (Active)
Reviewers: @danielskatz
Similarity score: 0.6852

⚠️ 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.

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crvernon commented Nov 9, 2024

@editorialbot check repository

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.01 s (398.6 files/s, 45302.9 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Markdown                         1             55              0            186
TeX                              1              6              1             65
YAML                             1              1              4             23
-------------------------------------------------------------------------------
SUM:                             3             62              5            274
-------------------------------------------------------------------------------

Commit count by author:

    19	masahikoji

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Paper file info:

📄 Wordcount for paper.md is 1052

✅ The paper includes a Statement of need section

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License info:

🔴 Failed to discover a valid open source license

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crvernon commented Nov 9, 2024

@masahikoji - I don't see any code in this repository at all. Please check and clarify.

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masahikoji commented Nov 9, 2024 via email

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@masahikoji - the code needs to be in the same repository as your paper. Please adjust this and let me know which repository the code and paper to be reviewed will be in. Thank you.

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masahikoji commented Nov 13, 2024 via email

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@editorialbot check repository

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.01 s (422.3 files/s, 48000.1 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Markdown                         1             55              0            186
TeX                              1              6              1             65
YAML                             1              1              4             23
-------------------------------------------------------------------------------
SUM:                             3             62              5            274
-------------------------------------------------------------------------------

Commit count by author:

    19	masahikoji

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Paper file info:

📄 Wordcount for paper.md is 1052

✅ The paper includes a Statement of need section

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License info:

🔴 Failed to discover a valid open source license

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masahikoji commented Nov 14, 2024 via email

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.01 s (399.3 files/s, 45387.7 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Markdown                         1             55              0            186
TeX                              1              6              1             65
YAML                             1              1              4             23
-------------------------------------------------------------------------------
SUM:                             3             62              5            274
-------------------------------------------------------------------------------

Commit count by author:

    19	masahikoji

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Paper file info:

📄 Wordcount for paper.md is 1052

✅ The paper includes a Statement of need section

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License info:

🔴 Failed to discover a valid open source license

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masahikoji commented Nov 14, 2024 via email

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.01 s (959.1 files/s, 114919.6 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
R                                5             12            111            758
Markdown                         4             84              0            253
TeX                              1              6              1             65
YAML                             1              1              4             23
-------------------------------------------------------------------------------
SUM:                            11            103            116           1099
-------------------------------------------------------------------------------

Commit count by author:

    21	masahikoji

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Paper file info:

📄 Wordcount for paper.md is 1052

✅ The paper includes a Statement of need section

@editorialbot editorialbot added the R label Nov 14, 2024
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License info:

🟡 License found: GNU General Public License v3.0 (Check here for OSI approval)

@crvernon
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@editorialbot review scope

👋 @masahikoji - I am going to run this through review with our larger editorial board to ensure that it meets scope requirements. I'll get back in touch ASAP.

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I'm sorry human, I don't understand that. You can see what commands I support by typing:

@editorialbot commands

@openjournals openjournals deleted a comment from editorialbot Nov 14, 2024
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@editorialbot query scope

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Submission flagged for editorial review.

@editorialbot editorialbot added the query-scope Submissions of uncertain scope for JOSS label Nov 14, 2024
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@editorialbot reject

👋 @masahikoji - After further review with our larger editorial board we must reject this submission on the grounds of not meeting our substantial scholarly effort due to a low lines of code count.

Thank you for your submission to JOSS.

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Paper rejected.

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masahikoji commented Nov 25, 2024 via email

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