[PRE REVIEW]: aucvar: a R package for variance estimation of AUC

[editorialbot]

Submitting author: !--author-handle-->@fmoyaj<!--end-author-handle-- (Francisca Moya Jimenez) Repository: https://github.com/fmoyaj/aucvar Branch with paper.md (empty if default branch): Version: v1.0.0 Editor: Pending Reviewers: Pending Managing EiC: Arfon Smith

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.88  T=0.01 s (1445.5 files/s, 111158.1 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
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R                               14            137            291            469
TeX                              1             47              0            301
Markdown                         3             39              0            161
Rmd                              1             14             37             23
YAML                             1              1              0             18
-------------------------------------------------------------------------------
SUM:                            20            238            328            972
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gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 1563

[editorialbot]

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

OK DOIs

- None

MISSING DOIs

- 10.1016/s0031-3203(96)00142-2 may be a valid DOI for title:  The use of the area under the ROC curve in the evaluation of machine learning algorithms
- 10.1109/jproc.2017.2789319 may be a valid DOI for title: Predicting chronic disease hospitalizations from electronic health records: an interpretable classification approach
- 10.2307/2531595 may be a valid DOI for title: Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
- 10.1016/0002-9149(89)90524-9 may be a valid DOI for title: International application of a new probability algorithm for the diagnosis of coronary artery disease
- 10.1214/aos/1176344552 may be a valid DOI for title: Bootstrap methods: another look at the jackknife
- 10.1117/12.2513134 may be a valid DOI for title: Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning
- 10.1186/1472-6807-11-29 may be a valid DOI for title: Binary classification of protein molecules into intrinsically disordered and ordered segments
- 10.1177/0962280216680239 may be a valid DOI for title: A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data
- 10.1214/aoms/1177730491 may be a valid DOI for title: On a test of whether one of two random variables is stochastically larger than the other
- 10.1080/0022250x.1975.9989847 may be a valid DOI for title: A statistical  model for the analysis of ordinal level dependent variables
- 10.1088/1757-899x/495/1/012033 may be a valid DOI for title: Machine learning classification techniques for breast cancer diagnosis
- 10.1214/aos/1176347263 may be a valid DOI for title: A general theory for jackknife variance estimation
- 10.1093/bioinformatics/bti623 may be a valid DOI for title: ROCR: visualizing classifier performance in R
- 10.1214/aos/1176344136 may be a valid DOI for title: Estimating the dimension of a model
- 10.2307/2333860 may be a valid DOI for title: Estimation of the probability of an event as a function of several independent variables
- 10.5705/ss.2012.215 may be a valid DOI for title: Variance estimation of a general U-statistic with application to cross-validation
- 10.1073/pnas.87.23.9193 may be a valid DOI for title: Multisurface method of pattern separation for medical diagnosis applied to breast cytology
- 10.1109/access.2016.2628102 may be a valid DOI for title: A fast algorithm for unbiased estimation of variance of AUC based on dynamic programming
- 10.1002/sim.8725 may be a valid DOI for title: An efficient variance estimator of AUC and its applications to binary classification

INVALID DOIs

- None

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[arfon]

@editorialbot query scope

@fmoyaj – many thanks for your submission to JOSS. As this package is quite small, I'm going to flag this for a scope review by the wider JOSS editorial team. This will likely take a week or so.

[editorialbot]

Submission flagged for editorial review.

[danielskatz]

👋 @fmoyaj - I'm sorry to say that after discussion amongst the JOSS editors, we have decided that this submission does not meet the substantial scholarly effort criterion for review by JOSS. Please see https://joss.readthedocs.io/en/latest/submitting.html#other-venues-for-reviewing-and-publishing-software-packages for other suggestions for how you might receive credit for your work.

[danielskatz]

@editorialbot reject

[editorialbot]

Paper rejected.