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[PRE REVIEW]: BGmisc: An R Package for Extended Behavior Genetics Analysis #5894
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Five most similar historical JOSS papers: bmgarch: An R-Package for Bayesian Multivariate GARCH models rTASSEL: An R interface to TASSEL for analyzing genomic diversity genieR: An R package for inference of demographic history of phylogenies GeneNetwork: framework for web-based genetics fitODBOD: An R Package to Model Binomial Outcome Data using Binomial Mixture and Alternate Binomial Distributions. |
@editorialbot query scope @smasongarrison – this submission is one the smaller side of what we'd typically publish here so I'm going to start a scope query with the broader editorial team. This will take a couple of weeks to complete. |
Submission flagged for editorial review. |
Nevermind, I misread what you wrote. |
@editorialbot generate pdf |
@smasongarrison I am really sorry things are so slow-moving. I will try and focus on speeding this up, but at the moment I am struggling to find an editor with the appropriate expertise. If nobody is found soon, I will take this over myself. |
Five most similar historical JOSS papers: bmgarch: An R-Package for Bayesian Multivariate GARCH models rTASSEL: An R interface to TASSEL for analyzing genomic diversity genieR: An R package for inference of demographic history of phylogenies GeneNetwork: framework for web-based genetics rigr: Regression, Inference, and General Data Analysis Tools in R |
@fboehm @osorensen @jbytecode is anybody experienced and available to take this one? 😌 |
Sure! |
@editorialbot add @osorensen as editor |
Assigned! @osorensen is now the editor |
@editorialbot generate pdf |
Five most similar historical JOSS papers: bmgarch: An R-Package for Bayesian Multivariate GARCH models genieR: An R package for inference of demographic history of phylogenies rTASSEL: An R interface to TASSEL for analyzing genomic diversity GeneNetwork: framework for web-based genetics rigr: Regression, Inference, and General Data Analysis Tools in R |
👋 @mhu48, @vankesteren, @wjakethompson, 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 |
I don't have any experience with behavior genetics, so I'm would not be able to give feedback on the accuracy/quality of the methods. I could review for R package best practices (e.g., test coverage, documentation, etc.) if that would be helpful. |
Happy to do so, look like an interesting contribution!
Øystein Sørensen ***@***.***> 于 2024年1月7日周日 14:05写道:
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<https://github.com/wjakethompson>, would any of you be willing to review
this submission for JOSS? We carry out our checklist-driven reviews here in
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Thanks @wjakethompson, that would be really helpful. The R package best practices are also the main aspects of a JOSS review, so I'll add you as a reviewer. |
@editorialbot add @wjakethompson as reviewer |
@wjakethompson added to the reviewers list! |
@editorialbot add @mhu48 as reviewer |
@mhu48 added to the reviewers list! |
@editorialbot start review |
OK, I've started the review over in #6203. |
Submitting author: @smasongarrison (S. Mason Garrison)
Repository: https://github.com/R-Computing-Lab/BGmisc/
Branch with paper.md (empty if default branch):
Version: v1.0
Editor: @osorensen
Reviewers: @wjakethompson, @mhu48
Managing EiC: Arfon Smith
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