[PRE REVIEW]: iTensor: An R package for independent component analysis-based matrix/tensor decomposition

[editorialbot]

Submitting author: @kokitsuyuzaki (Koki Tsuyuzaki)
Repository: https://github.com/rikenbit/iTensor
Branch with paper.md (empty if default branch):
Version: v1.0.0
Editor: @osorensen
Reviewers: @ritika-giri, @devarops
Managing EiC: Arfon Smith

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

@kokitsuyuzaki 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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Software report:

github.com/AlDanial/cloc v 1.88  T=0.02 s (1566.7 files/s, 226530.9 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
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R                               13            168            630           1970
TeX                              2             47             50            308
Markdown                         7             66              0            229
Rmd                              3             89            175             95
YAML                             1             12             13             45
Dockerfile                       1              1              2              4
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SUM:                            27            383            870           2651
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gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 725

[editorialbot]

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

OK DOIs

- None

MISSING DOIs

- 10.7551/mitpress/7011.003.0009 may be a valid DOI for title: An information-maximization approach to blind separation and blind deconvolution
- 10.1162/089976699300016719 may be a valid DOI for title: Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources
- 10.1109/72.761722 may be a valid DOI for title: Fast and robust fixed-point algorithms for independent component analysis
- 10.1049/ip-f-2.1993.0054 may be a valid DOI for title: Blind beamforming for non-gaussian signals
- 10.1007/978-3-642-15995-4_21 may be a valid DOI for title: Auxiliary-Function-Based Independent Component Analysis for Super-Gaussian Sources
- 10.1186/1471-2105-13-24 may be a valid DOI for title: Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets
- 10.1109/31.76486 may be a valid DOI for title: Indeterminacy and identifiability of blind identification
- 10.1109/icassp.1989.266878 may be a valid DOI for title: Source separation using higher order moments
- 10.1109/ijcnn.1999.831077 may be a valid DOI for title: MICA: Multimodal independent component analysis
- 10.1016/j.neuroimage.2008.10.057 may be a valid DOI for title: A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data
- 10.1016/j.sigpro.2022.108457 may be a valid DOI for title: CorrIndex: a permutation invariant performance index
- 10.1109/memb.2006.1607672 may be a valid DOI for title: Unmixing fMRI with Independent Component Analysis
- 10.1038/nbt.2859 may be a valid DOI for title: The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- 10.3389/fnins.2013.00267 may be a valid DOI for title: MEG and EEG data analysis with MNE-Python
- 10.1371/journal.pone.0270556 may be a valid DOI for title: Comparing the reliability of different ICA algorithms for fMRI analysis
- 10.1109/spmb.2016.7846858 may be a valid DOI for title: Applying fully tensorial ICA to fMRI data

INVALID DOIs

- None

[arfon]

@kokitsuyuzaki - 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!

If you want to fix the DOIs (noting that @editorialbot's suggestions are not always right), you can, then use the following commands (one at a time, as the first line of a new comment) to regenerate the PDF and check the references.

@editorialbot generate pdf
@editorialbot check references

[editorialbot]

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

[kokitsuyuzaki]

@arfon Thanks for the response.
Maybe the reviewers for the nnTensor package might be available again.
#5015

I will wait patiently.

[gkthiruvathukal]

@kokitsuyuzaki I am working on getting an editor for this submission.

[osorensen]

@editorialbot add @osorensen as editor

[editorialbot]

Assigned! @osorensen is now the editor

[gkthiruvathukal]

Thank you for responding to my Slack message, @osorensen! You can take it from here.

[osorensen]

👋 @rashatwi @devarops @ritika-giri 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

[ritika-giri]

👋 @rashatwi @devarops @ritika-giri 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

Hello @osorensen, happy to review!

[osorensen]

@editorialbot add @ritika-giri as reviewer

[editorialbot]

@ritika-giri added to the reviewers list!

[devarops]

wave @rashatwi @devarops @ritika-giri 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

Sure, @osorensen, I can review it.

[osorensen]

@editorialbot add @devarops as reviewer

[editorialbot]

@devarops added to the reviewers list!

[osorensen]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #5496.