[PRE REVIEW]: Accelerated oblique random survival forests

[editorialbot]

Submitting author: @bcjaeger (Byron Jaeger)
Repository: https://github.com/bcjaeger/aorsf
Branch with paper.md (empty if default branch):
Version: 0.0.1
Editor: @danielskatz
Reviewers: @danielskatz
Managing EiC: Arfon Smith

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

@bcjaeger if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.88  T=0.06 s (1070.6 files/s, 232200.4 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
R                               43           1880           2140           3924
C++                              2           1189            997           2054
XML                              1              0              2            441
JSON                             1              0              0            270
Markdown                         6             79              0            249
YAML                             8             48             23            228
Rmd                              4            237            237            217
TeX                              1             15              0             84
-------------------------------------------------------------------------------
SUM:                            66           3448           3399           7467
-------------------------------------------------------------------------------


gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 832

[editorialbot]

Failed to discover a Statement of need section in paper

[editorialbot]

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

OK DOIs

- 10.48550/ARXIV.2208.01129 is OK

MISSING DOIs

- 10.1007/978-3-030-56485-8_3 may be a valid DOI for title: Random forests
- 10.1214/19-aoas1261 may be a valid DOI for title: Oblique random survival forests
- 10.1161/circulationaha.120.053134 may be a valid DOI for title: Development and Validation of Machine Learning–Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multicohort Analysis
- 10.1016/j.patcog.2019.107078 may be a valid DOI for title: Heterogeneous oblique random forest

INVALID DOIs

- None

[editorialbot]

⚠️ An error happened when generating the pdf.

[arfon]

@bcjaeger - thanks for your submission to JOSS. We're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy.

For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience!

[bcjaeger]

@arfon - thank you for letting me know! I totally understand. I will make some updates based on editorialbot's feedback in the meantime.

[danielskatz]

👋 @emdupre - would you be able to edit this submission?

[danielskatz]

@editorialbot invite @emdupre as editor

[editorialbot]

Invitation to edit this submission sent!

[emdupre]

Thanks for thinking of me ! I'm a little concerned that I won't be able to properly evaluate this as I'm less comfortable in R, so I'll need to decline the invitation.

[arfon]

@editorialbot invite @Fei-Tao as editor

👋 @Fei-Tao – would you be willing to edit this submission for JOSS?

[editorialbot]

Invitation to edit this submission sent!

[Fei-Tao]

@editorialbot assign me as editor

[editorialbot]

Assigned! @Fei-Tao is now the editor

[Fei-Tao]

@bcjaeger If you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).

[Fei-Tao]

@cole-brokamp if you'd like to review this submission, please comment here! Feel free to unsubscribe from this issue if you are not interested. Thanks for your time.

[bcjaeger]

Thanks! Here are a few other people who I think would be great reviewers

Terry Therneau (therneau) - a lot of the C code in aorsf is based on his survival package coxph routine.

Torsten Hothorn (thothorn) - Torsten is the author of the party package and I'd like aorsf to look like the party package in 10 years.

Hannah Frick (hfrick), Emil Hvitfeldt (EmilHvitfeldt), Max Kuhn (topepo), Davis Vaughan (DavisVaughan), and Julia Silge
(juliasilge) - they are all developers/contributors to the censored package, and I'd like aorsf to contribute to that package.

Raphael Sonabend (RaphaelS1), Andreas Bender (adibender), Michel Lang (mllg), and Patrick Schratz (pat-s) - they are developers/contributors to the mlr3-proba package, and I'd like aorsf to contribute to that package.

[bcjaeger]

Oh and in case I did not mention this, aorsf was reviewed at rOpenSci: ropensci/software-review#532

I believe this qualifies aorsf for an expedited review by JOSS, depending on how the editor views the rOpenSci review.

[danielskatz]

@bcjaeger and @Fei-Tao - because of the rOpenSci review, this indeed does not need to go through a full JOSS review. so I'll take it and handle the expedited review (and thanks to @Fei-Tao for agreeing to edit when we didn't know this)

[danielskatz]

@editorialbot assign me as editor

[editorialbot]

Assigned! @danielskatz is now the editor

[danielskatz]

@editorialbot generate pdf

[editorialbot]

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

[danielskatz]

@bcjaeger - please add a statement of need section to the paper, and in that, or in the introduction, please explain more generally what this software does and what types of applications it has, remembering that JOSS has a very diverse readership, not all of which has detailed machine learning expertise. For example, the paper probably needs to explain what right-censored time-to-event data is and where it appears/is used, what survival decision trees are and where they appear/are used, what risk prediction models are and where they appear/are used, etc. While you do this, I will do a bunch of the processing needed, including creating a review issue very shortly.

[danielskatz]

@editorialbot assign @danielskatz as reviewer

[editorialbot]

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

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[danielskatz]

@editorialbot add @danielskatz as reviewer

[editorialbot]

@danielskatz added to the reviewers list!

[danielskatz]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #4705.

[danielskatz]

@bcjaeger - we'll now continue in #4705

[bcjaeger]

Awesome - thank you!