Closed editorialbot closed 2 years ago
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
Software report:
github.com/AlDanial/cloc v 1.88 T=0.06 s (1335.2 files/s, 191648.4 lines/s)
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Language files blank comment code
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HTML 28 676 97 4012
R 22 270 1051 1601
Markdown 7 170 0 759
TeX 1 44 0 451
CSS 3 98 52 442
JavaScript 5 65 37 277
Rmd 2 90 379 99
YAML 5 15 4 95
XML 1 0 0 84
make 1 9 0 20
SVG 1 0 1 11
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SUM: 76 1437 1621 7851
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gitinspector failed to run statistical information for the repository
Wordcount for paper.md
is 2123
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1111/rssb.12362 is OK
- 10.5281/zenodo.3558313 is OK
- 10.21105/joss.02526 is OK
- 10.21105/joss.00512 is OK
- 10.1111/biom.13375 is OK
- 10.5281/zenodo.4070042 is OK
- 10.21105/joss.02447 is OK
MISSING DOIs
- 10.1007/978-3-319-65304-4_14 may be a valid DOI for title: Stochastic Treatment Regimes
- 10.1111/j.1541-0420.2011.01685.x may be a valid DOI for title: Population intervention causal effects based on stochastic interventions
- 10.2202/1557-4679.1356 may be a valid DOI for title: Super learner based conditional density estimation with application to marginal structural models
- 10.1007/978-3-319-65304-4_6 may be a valid DOI for title: Highly Adaptive Lasso (HAL)
- 10.1515/ijb-2015-0097 may be a valid DOI for title: A Generally Efficient Targeted Minimum Loss Based Estimator based on the Highly Adaptive Lasso
- 10.1109/dsaa.2016.93 may be a valid DOI for title: The highly adaptive lasso estimator
- 10.1515/jci-2014-0022 may be a valid DOI for title: A boosting algorithm for estimating generalized propensity scores with continuous treatments
- 10.1111/j.1541-0420.2005.00377.x may be a valid DOI for title: Doubly robust estimation in missing data and causal inference models
- 10.1162/neco.2008.10-07-628 may be a valid DOI for title: Nonparametric conditional density estimation using piecewise-linear solution path of kernel quantile regression
- 10.1016/s0167-9473(00)00046-3 may be a valid DOI for title: Bandwidth selection for kernel conditional density estimation
- 10.1007/978-1-4471-2097-1_162 may be a valid DOI for title: Estimation of conditional densities: A comparison of neural network approaches
- 10.1109/dsaa.2016.93 may be a valid DOI for title: The highly adaptive lasso estimator
- 10.2202/1544-6115.1036 may be a valid DOI for title: Asymptotic optimality of likelihood-based cross-validation
- 10.1016/j.stamet.2005.02.003 may be a valid DOI for title: Asymptotics of cross-validated risk estimation in estimator selection and performance assessment
- 10.1515/ijb-2015-0097 may be a valid DOI for title: A Generally Efficient Targeted Minimum Loss Based Estimator based on the Highly Adaptive Lasso
- 10.1002/sim.5907 may be a valid DOI for title: Estimation of the effect of interventions that modify the received treatment
- 10.1017/cbo9780511810725.016 may be a valid DOI for title: The central role of the propensity score in observational studies for causal effects
- 10.3150/bj/1093265631 may be a valid DOI for title: Semiparametric density estimation under a two-sample density ratio model
- 10.1093/biomet/85.3.619 may be a valid DOI for title: Inferences for case-control and semiparametric two-sample density ratio models
- 10.1007/bf00117832 may be a valid DOI for title: Stacked regressions
- 10.2202/1557-4679.1043 may be a valid DOI for title: Targeted maximum likelihood learning
INVALID DOIs
- None
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
@nhejazi can you check those potentially missing DOIs? :point_up: If those papers are not cited in the paper please remove them from the bib file. You can call @editorialbot check references
to repeat the check.
@nhejazi I have just assigned the waitlisted
label here, since the editors for this domain are currently preoccupied with other submissions. We will assign an editor once one becomes available.
@marcosvital would you be able to edit this once you are available?
@editorialbot commands
Hello @nhejazi, 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
# Check the references of the paper for missing DOIs
@editorialbot check references
# Perform checks on the repository
@editorialbot check repository
# Adds a checklist for the reviewer using this command
@editorialbot generate my checklist
# Set a value for branch
@editorialbot set joss-paper as branch
# Generates the pdf paper
@editorialbot generate pdf
# Get a link to the complete list of reviewers
@editorialbot list reviewers
@editorialbot check references
Checking the BibTeX entries failed with the following error:
Failed to parse BibTeX on value "url" (NAME) [#<BibTeX::Bibliography data=[4]>, "@", #<BibTeX::Entry >, {:title=>["Super learner based conditional density estimation with application to marginal structural models"], :author=>["D{\\'\\i}az, Iv{\\'a}n and {van der Laan}, Mark J"], :journal=>["International Journal of Biostatistics"], :volume=>["7"], :number=>["1"], :pages=>["1--20"], :year=>["2011"], :publisher=>["De Gruyter"], :doi=>["10.2202/1557-4679.1356"]}]
@editorialbot check references
Checking the BibTeX entries failed with the following error:
Failed to parse BibTeX on value "url" (NAME) [#<BibTeX::Bibliography data=[25]>, "@", #<BibTeX::Entry >, {:title=>["Asymptotics of cross-validated risk estimation in estimator selection and performance assessment"], :author=>["Dudoit, Sandrine and {van der Laan}, Mark J"], :journal=>["Statistical Methodology"], :volume=>["2"], :number=>["2"], :pages=>["131--154"], :year=>["2005"], :publisher=>["Elsevier"], :doi=>["10.1016/j.stamet.2005.02.003"]}]
@editorialbot check references
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1007/978-3-319-65304-4_14 is OK
- 10.2202/1557-4679.1356 is OK
- 10.1111/rssb.12362 is OK
- 10.1007/978-3-319-65304-4_6 is OK
- 10.1515/ijb-2015-0097 is OK
- 10.5281/zenodo.3558313 is OK
- 10.21105/joss.02526 is OK
- 10.1109/dsaa.2016.93 is OK
- 10.1515/jci-2014-0022 is OK
- 10.1111/j.1541-0420.2005.00377.x is OK
- 10.1162/neco.2008.10-07-628 is OK
- 10.1016/s0167-9473(00)00046-3 is OK
- 10.1007/978-1-4471-2097-1_162 is OK
- 10.21105/joss.00512 is OK
- 10.2202/1544-6115.1036 is OK
- 10.1016/j.stamet.2005.02.003 is OK
- 10.1515/ijb-2015-0097 is OK
- 10.1111/biom.13375 is OK
- 10.1002/sim.5907 is OK
- 10.1017/cbo9780511810725.016 is OK
- 10.3150/bj/1093265631 is OK
- 10.1093/biomet/85.3.619 is OK
- 10.1007/bf00117832 is OK
- 10.5281/zenodo.4070042 is OK
- 10.21105/joss.02447 is OK
- 10.2202/1557-4679.1043 is OK
MISSING DOIs
- None
INVALID DOIs
- https://doi.org/10.1111/j.1541-0420.2011.01685.x is INVALID because of 'https://doi.org/' prefix
@editorialbot check references
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1007/978-3-319-65304-4_14 is OK
- 10.1111/j.1541-0420.2011.01685.x is OK
- 10.2202/1557-4679.1356 is OK
- 10.1111/rssb.12362 is OK
- 10.1007/978-3-319-65304-4_6 is OK
- 10.1515/ijb-2015-0097 is OK
- 10.5281/zenodo.3558313 is OK
- 10.21105/joss.02526 is OK
- 10.1109/dsaa.2016.93 is OK
- 10.1515/jci-2014-0022 is OK
- 10.1111/j.1541-0420.2005.00377.x is OK
- 10.1162/neco.2008.10-07-628 is OK
- 10.1016/s0167-9473(00)00046-3 is OK
- 10.1007/978-1-4471-2097-1_162 is OK
- 10.21105/joss.00512 is OK
- 10.2202/1544-6115.1036 is OK
- 10.1016/j.stamet.2005.02.003 is OK
- 10.1515/ijb-2015-0097 is OK
- 10.1111/biom.13375 is OK
- 10.1002/sim.5907 is OK
- 10.1017/cbo9780511810725.016 is OK
- 10.3150/bj/1093265631 is OK
- 10.1093/biomet/85.3.619 is OK
- 10.1007/bf00117832 is OK
- 10.5281/zenodo.4070042 is OK
- 10.21105/joss.02447 is OK
- 10.2202/1557-4679.1043 is OK
MISSING DOIs
- None
INVALID DOIs
- None
thanks @Kevin-Mattheus-Moerman, I've now added all of the missing DOIs and validated them against the checks from the editorial bot. no problem to wait until editors/reviewers are available.
👋 @majensen - would you be willing to edit this submission?
@editorialbot invite @majensen as editor
Invitation to edit this submission sent!
@editorialbot assign me as editor
Assigned! @majensen is now the editor
@nhejazi thanks for the submission. Are you able to suggest one or two possible reviewers? Thanks
@majensen sure, thanks for reminding me about this. here are a few possible referees from the JOSS list: stefanocoretta, mhu48, turgeonmaxime, graystatistics, stmcg
@majensen, no rush at all, but let me know if I can work on anything else related to starting this review
Apologies @nhejazi - Thanks for the ping. I will get some reviewer requests out today.
Hi @stefanocoretta - I appreciate your interest in reviewing for JOSS! Are you available to review this work? Your expertise here would be very helpful; please have a look at the review guidelines, and if you are interested, please repond in this thread. Thanks for your consideration! --@majensen
Hello @turgeonmaxime - thanks for your interest in reviewing for JOSS. I believe your interests and expertise align with this submitted work. Would you have time to review? Please have a look at the review guidelines, and let us know by responding in this thread. If you have suggestions for other possible reviewers, that would be welcome as well. Many thanks for your consideration --@majensen
@majensen Yes, I'm available to review this manuscript.
Thanks so much @turgeonmaxime
@editorialbot add @turgeonmaxime as reviewer
@turgeonmaxime added to the reviewers list!
Hello @majensen , happy to do so.
@editorialbot add @adibender as reviewer
@adibender added to the reviewers list!
@turgeonmaxime @adibender thanks so much for your willingness to review - I will open the review issue, which will close this current one. Further discussion will take place there. cc @nhejazi
@editorialbot start review
OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/4522.
Hi @stefanocoretta - I appreciate your interest in reviewing for JOSS! Are you available to review this work? Your expertise here would be very helpful; please have a look at the review guidelines, and if you are interested, please repond in this thread. Thanks for your consideration! --@majensen
Hello! Sorry for the late reply but I was away. I assume the review task has been taken over by someone already?
Thanks so much @stefanocoretta - yes we are all set now. Catch you next time I hope-
Submitting author: !--author-handle-->@nhejazi<!--end-author-handle-- (Nima Hejazi) Repository: https://github.com/nhejazi/haldensify Branch with paper.md (empty if default branch): Version: v0.2.5 Editor: !--editor-->@majensen<!--end-editor-- Reviewers: @turgeonmaxime, @adibender Managing EiC: Kevin M. Moerman
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Thanks for submitting your paper to JOSS @nhejazi. Currently, there isn't an JOSS editor assigned to your paper.
@nhejazi 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).
Editor instructions
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