Closed whedon closed 1 year ago
Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. @GaryBAYLOR, @cpalmer718 it looks like you're currently assigned to review this paper :tada:.
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Wordcount for paper.md
is 1248
Software report (experimental):
github.com/AlDanial/cloc v 1.88 T=0.26 s (186.7 files/s, 31606.1 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code
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R 39 832 1214 2592
HTML 1 35 2 1020
Markdown 3 125 0 872
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Rmd 2 241 425 180
YAML 2 12 0 57
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SUM: 49 1300 1641 5352
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Statistical information for the repository '3c477f102d988190661a0dcd' was
gathered on 2022/02/18.
No commited files with the specified extensions were found.
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1515/ijb-2015-0013 is OK
- 10.2202/1557-4679.1217 is OK
- 10.1111/j.1541-0420.2011.01685.x is OK
- 10.1002/sim.5907 is OK
- 10.1007/978-3-319-65304-4_14 is OK
- 10.1007/978-1-4419-9782-1 is OK
- 10.1007/978-3-319-65304-4 is OK
- 10.2202/1557-4679.1356 is OK
- 10.1111/rssb.12362 is OK
- 10.1111/biom.13375 is OK
- 10.21105/joss.02526 is OK
- 10.5281/zenodo.1342293 is OK
- 10.5281/zenodo.3558313 is OK
- 10.5281/zenodo.3698329 is OK
MISSING DOIs
- None
INVALID DOIs
- None
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
@osorensen I reviewed the paper and have the following comments. I will take another look after these issues are resolved. Thanks!
Why two licenses https://github.com/blind-contours/CVtreeMLE/issues/2 The package cannot be found in CRAN https://github.com/blind-contours/CVtreeMLE/issues/3 Improve function documentation https://github.com/blind-contours/CVtreeMLE/issues/4 Lightweight editing of the JOSS paper https://github.com/blind-contours/CVtreeMLE/issues/5 Comments on the paper https://github.com/blind-contours/CVtreeMLE/issues/6 Remove R code that are no longer needed https://github.com/blind-contours/CVtreeMLE/issues/7 Comments on README file https://github.com/blind-contours/CVtreeMLE/issues/8 Non reproducible results https://github.com/blind-contours/CVtreeMLE/issues/9
Thanks @GaryBAYLOR!
Hi @osorensen I'm ready to post the review, but I can't edit the checklist message. I'm logged in, and I tried the invitation link but it said it couldn't find an invitation. Can you reinvite me? I apologize if this was (quite likely) because I waited too long to click the link.
Thanks for reaching out @cpalmer718. I hope @openjournals/dev can help us with this issue.
Or perhaps you could try running the following comment in this issue, @cpalmer718: @editorialbot generate my checklist
. This should generate a new checklist, which you can edit.
@osorensen oooh excellent, thank you
Glad it worked @cpalmer718. Then just use this checklist rather than the one at the top.
Extended comments/issue links:
devel
branch. main
installation with install_github works fine though: https://github.com/blind-contours/CVtreeMLE/issues/11Thanks for having me @osorensen et al.! Hope it goes well, and I'd be happy to take a second look.
Thanks a lot for your review, @cpalmer718. Please notify us when these issues have been resolved, @blind-contours, and don't hesitate to reach out if I can be of any help.
Hi Team, thank you so much for your review and sorry for my delayed response. I'm preparing for my qualifying exam currently. I will begin making edits based on your suggestions soon. Again, thank you for the thorough review, this was extremely helpful!
@blind-contours, could you please update us on how it's going with addressing the issues raised by the reviewers?
@blind-contours, can you please update us on how it is going with addressing the points raised by the reviewers?
@openjournals/joss-eics I have not been able to get in touch with the submitting author @blind-contours, despite repeated attempts. The last response is on 17 March and none of the issues opened by the reviewers in the source repository appear to have been addressed. Could you please consider if this submission should be rejected, with an opportunity to resubmit? I have also searched extensively for the author's e-mail address, but not been able to find it.
Furthermore, the manuscript claims that "The CVtreeMLE package has been made publicly available both via GitHub and the Comprehensive R Archive Network." However, I am not able to find the package on the Comprehensive R Archive Network.
@osorensen -- sorry for the delay. I've started addressing the issues made by @cpalmer718. My email address is david_mccoy@berkeley.edu, I will add it to the readme and update the link to my bio page. I wasn't able to get the package on CRAN because the SL3 dependency is not on CRAN so I am removing that section of the manuscript and updating the READme. Thank you for your review of this package, I will be responding to issues this week.
Thanks @blind-contours. Please keep us updated about the progress and feel free to reach out to me whenever you have any questions .
@blind-contours, could you please update us on how it is going addressing the issues opened by the reviewers? It would also be nice if you could give an approximate estimate of how long you expect it will take to resolve the issues.
Hi @osorensen, I have responded to issue #5 and #6 in regards to the JOSS paper submission. Generally, I have added details to elaborate on more abstruse terms and moved parts of different sections around to better match organization. Hopefully these edits meet the reviewers comments but please let me know if there are any other suggestions. The current paper.md is the most updated draft.
Issues #1 and #3 have been resolved - this is regarding CVtreeMLE not being available on CRAN. I've simply removed this from the documentation and download is only available off github as the package currently relies on SL3 for ensemble machine learning. In the future, I can update code to use tidymodels or HAL9001 nonparametric estimators which will allow for CRAN submission but for now this is not available given SL3 is not on CRAN.
I am currently cleaning the existing code to pass linting tests and updating documentation to meet reviewer comments #7, #4, and #14. I expect all issues to be resolved by August 1st.
Thanks @blind-contours! It's absolutely fine that this takes some time, but please give a new update on the progress in the beginning of August.
@osorensen et. al., I have made significant changes to the package in response to the JOSS issues page. I have given responses to each and made updates to the package accordingly. I'm still making some small changes but for the most part I believe the new updates are a major improvement in the package given the issues raised by reviewers. This is the first major package I have created so I really appreciate the thorough review. Please let me know what additional changes you would like to see after reviewing what I have already done. Thanks again - really appreciate the time and effort.
Thanks a lot for the work, @blind-contours. Could you please update your review checklists based on these latest modifications, @cpalmer718 and @GaryBAYLOR? Please let me know if you have any further questions.
👋 @cpalmer718 and @GaryBAYLOR, could you please consider whether the updates made by @blind-contours address your points raised in the reviews, and update your review checklists accordingly?
Hi @osorensen @blind-contours the package is much improved, and substantial effort has been put into addressing my comments. I'll summarize the following remaining notes:
Newer mixture methods [...] is biased by
), specifically in the summary## Marginal Results
These are all quite minor, and beyond that I am content.
Thanks @cpalmer718!
On the occasion, I'd also like to ask @blind-contours about the prospects of submitting this package to CRAN. Although not a strict requirement for publishing in JOSS, it definitely would be an advantage.
Thank you @cpalmer718! As per your first point, I'm looking to reduce the bloat. I am still learning the intricacies of namespaces - are there particular packages you see that are only used via library()? I'll work on your additional comments. Really appreciate your thorough review! It's been a great learning experience.
I would like to get this package on CRAN. The major issue is the ensemble machine learning used to estimate the data adaptive parameter and the nuisance parameters. Because SL3 - the ensemble machine learning package I use, is not on CRAN, and I can't really make it optional while keeping the statistical properties of the estimates, I would need to use a package that is on CRAN and does a type of Super Learning. I believe I can substitute SL3 for tidymodels. So my plan is, once this package is on JOSS (hopefully) to create a new branch for development of transferring the machine learning functions to use tidymodels - this would require a lot of restructuring of the package but would make it available on CRAN.
@blind-contours, I'm the editor and not the reviewer here, but would like to point out that the following lines in your NAMESPACE import all functions from ggplot2
, partykit
, and sl3
. I think this is @cpalmer718's point here.
import(ggplot2)
import(partykit)
import(sl3)
Inside the code, however, I see that you are using the namespace qualifier when calling ggplot2
functions, e.g., in these lines from plot_marginal_results.R
. Presumably the same applies to partykit
and sl3
as well.
plot <- ggplot2::ggplot(
marg_data,
ggplot2::aes_string(
x = "`Marginal ATE`", y = "fold", color = "fold",
xmin = "`Lower CI`", xmax = "`Upper CI`", label = "`Comparison`"
)
) +
ggplot2::facet_wrap(~Type) +
ggplot2::geom_errorbarh(size = line_size) +
ggplot2::geom_point(size = point_size) +
ggplot2::geom_vline(xintercept = 0, alpha = .25, linetype = "dotted",
size = line_size) +
ggplot2::labs(x = "ATE", y = "Fold", color = "") +
ggplot2::ggtitle(title) +
ggplot2::theme_classic() +
ggplot2::theme(text = text_theme, axis.text = axis_text_theme,
legend.position = "none") +
ggplot2::geom_text(size = 5, hjust = hjust, vjust = 0,
colour = "#3C3C3C", nudge_x = 0, nudge_y = 0.0)
This is unnecessary. You could either:
Remove the following line
#' @import ggplot2
Then run devtools::document()
or whatever you're using, and make sure import(ggplot2)
is no longer in your NAMESPACE.
... but the whole reason for having @import ggplot2
there in the first place. Remove the ggplot2::
qualifier from all of your source code.
In summary, whenever you're using pkg::function
in your source code, you should NOT import that function, or import the package (which means important ALL functions in the package). In these cases pkg
should only be listed in your DESCRIPTION. The point of important is to save oneself from writing pkg::
everywhere, which can make the source code more readable if you're reusing the same function a large number of times.
Another example I found while browsing source code. In simulate_mixture_cube.R
you have the line
dplyr::mutate(rcat = Hmisc::rMultinom(probs, 1))
but you also write
#' @importFrom Hmisc rMultinom
Again, since you use the qualifier Hmisc::
, the @importFrom
should be removed here.
@osorensen - thanks so much for the clarification. I think I get it now and will do more research. I'll remove these packages from the namespace.
@blind-contours I have updated some issues as well as adding a few new issues I detected. I will take time to look at issue #6 and #8 I raised previously given you have updated them.
@GaryBAYLOR, could you please update us on how it's going addressing the issues raised by the reviewers?
I’ve made some big updates to the package. Currently passes everything with no notes, warnings or errors but it appears something is failed the check with GitHub Linux which I’m trying to figure out. I think it’s just the parallel processing in the vignette on Linux. I think I’ve responded to everything else. Let me know if I can do anything else.
Thanks for responding @blind-contours, and sorry @GaryBAYLOR that I wrongly tagged you.
@blind-contours, if you think most of the issues raised by the reviewers have been resolved, please tag them with @username
in the respective issues in the source repository.
👋 @GaryBAYLOR and @cpalmer718, could you please check if the points raised in your reviews have now been addressed?
@osorensen There are still no contributing guidelines and the corresponding link in the readme is broken. I'm fine with the paper at this point, effort has obviously been put in here.
Thanks a lot @cpalmer718.
@blind-contours, could you please fix the two remaining issues pointed out by @cpalmer718 and report here when done?
Thanks a lot @cpalmer718.
@blind-contours, could you please fix the two remaining issues pointed out by @cpalmer718 and report here when done?
@blind-contours, could you please update us on this one?
@GaryBAYLOR could you please update us on how it's going with your review?
@osorensen I have added contributing guidelines and the corresponding link now maps to my website. Package should pass with no notes, warnings, or errors. I'm still making small changes to the vignette and general code streamlining but I think I've responded to all the comments/suggestions at this point. Thank you!
Thanks @blind-contours. @cpalmer718 could you please let us know if this addresses you concerns, and update the review checklist if it does?
👋 @SaranjeetKaur @calebsjin, 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
The review of this submission has been going on for a while and the authors has addressed a number of issues, but we have lost contact with one of the reviewers. We would hence very much appreciate the opinion of one or two additional reviewers.
Submitting author: !--author-handle-->@blind-contours<!--end-author-handle-- (David McCoy) Repository: https://github.com/blind-contours/CVtreeMLE Branch with paper.md (empty if default branch): Version: v1.0-joss Editor: !--editor-->@osorensen<!--end-editor-- Reviewers: @GaryBAYLOR, @cpalmer718, @wleoncio Archive: 10.5281/zenodo.7651354
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