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spiro: Manage Data from Cardiopulmonary Exercise Testing #541
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Thanks for submitting to rOpenSci, our editors and @ropensci-review-bot will reply soon. Type |
🚀 Editor check started 👋 |
Checks for spiro (v0.0.5)git hash: 92301b28
Important: All failing checks above must be addressed prior to proceeding Package License: MIT + file LICENSE 1. Package DependenciesDetails of Package Dependency Usage (click to open)
The table below tallies all function calls to all packages ('ncalls'), both internal (r-base + recommended, along with the package itself), and external (imported and suggested packages). 'NA' values indicate packages to which no identified calls to R functions could be found. Note that these results are generated by an automated code-tagging system which may not be entirely accurate.
Click below for tallies of functions used in each package. Locations of each call within this package may be generated locally by running 's <- pkgstats::pkgstats(<path/to/repo>)', and examining the 'external_calls' table. basec (57), data.frame (24), file (23), list (18), which (16), as.numeric (13), nrow (12), max (10), seq_along (10), attr (8), raw (8), rep.int (8), round (7), length (6), diff (5), lapply (5), range (5), vapply (5), as.data.frame (4), cbind (4), names (4), switch (4), drop (3), for (3), is.na (3), suppressWarnings (3), colnames (2), do.call (2), mean (2), min (2), numeric (2), rep (2), rev (2), rownames (2), split (2), strsplit (2), suppressMessages (2), unique (2), anyDuplicated (1), apply (1), as.character (1), character (1), duplicated (1), factor (1), grepl (1), levels (1), list.files (1), ls (1), mapply (1), paste0 (1), rbind (1), row.names (1), seq_len (1), seq.int (1), sum (1), system.file (1), unlist (1) spiroget_data (29), get_meta (10), spiro_smooth (10), get_sex (4), to_seconds (4), to_number (3), add_bodymass (2), add_protocol (2), bw_smooth_extract (2), calo.internal (2), check_bb (2), dupl (2), get_id (2), get_smooth_data (2), get_wrongcol_string (2), getstepmeans (2), gettime (2), hr_import (2), import_xml (2), replace_intna (2), smooth_match (2), spiro_import (2), spiro_interpolate (2), spiro_interpolate.internal (2), spiro_plot.guess_units (2), spiro_plot.internal (2), add_hr (1), bw_filter (1), calo (1), const (1), get_features (1), get_protocol (1), get_testtype (1), guess_device (1), hr_interpolate (1), knit_print.spiro (1), mavg (1), pre (1), print.spiro (1), set_protocol (1), set_protocol_manual (1), set_protocol_manual.data.frame (1), set_protocol_manual.default (1), spiro (1), spiro_anonymize (1), spiro_example (1), spiro_import_cortex (1), spiro_import_cosmed (1), spiro_import_vyntus (1), spiro_import_zan (1), spiro_max (1), spiro_plot (1), spiro_plot_EQ (1), spiro_plot_EQCO2 (1), spiro_plot_HR (1), spiro_plot_Pet (1), spiro_plot_RER (1), spiro_plot_VE (1), spiro_plot_vent (1), spiro_plot_VO2 (1), spiro_plot_vslope (1), spiro_smooth.internal (1), spiro_summary (1), steps (1), theme_spiro (1) utilsdata (106), read.delim (7), head (5), read.csv (3) statssmooth (20), time (13), approx (7), df (7), reshape (5), filter (2), end (1) ggplot2aes (20), ggplot (8), labs (7), scale_colour_manual (5), scale_y_continuous (3), sec_axis (3), aes_ (2), scale_color_manual (1), scale_fill_manual (1), theme_minimal (1) xml2xml_find_all (3), xml_text (3), read_xml (2), xml_children (1) readxlread_excel (6) signalbutter (1), filtfilt (1) cowplotplot_grid (1) mgcvs (1) NOTE: Some imported packages appear to have no associated function calls; please ensure with author that these 'Imports' are listed appropriately. 2. Statistical PropertiesThis package features some noteworthy statistical properties which may need to be clarified by a handling editor prior to progressing. Details of statistical properties (click to open)
The package has:
Statistical properties of package structure as distributional percentiles in relation to all current CRAN packages
All parameters are explained as tooltips in the locally-rendered HTML version of this report generated by the The final measure (
2a. Network visualisationClick to see the interactive network visualisation of calls between objects in package 3.
|
id | name | conclusion | sha | run_number | date |
---|---|---|---|---|---|
2462665426 | pages build and deployment | success | 33cc31 | 26 | 2022-06-08 |
2459834392 | pkgdown | success | 92301b | 68 | 2022-06-08 |
2459834396 | R-CMD-check | failure | 92301b | 40 | 2022-06-08 |
2459834394 | test-coverage | success | 92301b | 39 | 2022-06-08 |
3b. goodpractice
results
R CMD check
with rcmdcheck
rcmdcheck found no errors, warnings, or notes
Test coverage with covr
Package coverage: 91.29
Cyclocomplexity with cyclocomp
No functions have cyclocomplexity >= 15
Static code analyses with lintr
lintr found no issues with this package!
4. Other Checks
Details of other checks (click to open)
✖️ The following 4 function names are duplicated in other packages:
-
const
from arpr, CMLS, labdsv, sketch, timereg
-
get_id
from CVXR, epicontacts, eventr, IOHanalyzer, panelr, rbenvo, rmonad, seqmagick
-
pre
from DAMisc, html5, htmltools, pre, supernova, yonder
-
steps
from amt, ddpcr, fitbitr, shiny.semantic
Package Versions
package | version |
---|---|
pkgstats | 0.0.4.75 |
pkgcheck | 0.0.3.60 |
Editor-in-Chief Instructions:
Processing may not proceed until the items marked with ✖️ have been resolved.
Hi, I have added examples and renamed the functions that may lead to namespace conflicts. |
Thanks @smnnlt , we've recently added an ability for submitting authors to directly call ˋ@ropensci-review-bot check packageˋ. Feel free to give that a try, to re-run the checks. (You'd get to be the first author to do so 🚀) |
@ropensci-review-bot check package |
Thanks, about to send the query. |
🚀 Editor check started 👋 |
Checks for spiro (v0.0.5.9000)git hash: b5db6e6e
Package License: MIT + file LICENSE 1. Package DependenciesDetails of Package Dependency Usage (click to open)
The table below tallies all function calls to all packages ('ncalls'), both internal (r-base + recommended, along with the package itself), and external (imported and suggested packages). 'NA' values indicate packages to which no identified calls to R functions could be found. Note that these results are generated by an automated code-tagging system which may not be entirely accurate.
Click below for tallies of functions used in each package. Locations of each call within this package may be generated locally by running 's <- pkgstats::pkgstats(<path/to/repo>)', and examining the 'external_calls' table. basec (57), data.frame (24), file (23), list (18), which (16), as.numeric (13), nrow (12), max (10), seq_along (10), attr (8), raw (8), rep.int (8), round (7), length (6), diff (5), lapply (5), range (5), vapply (5), as.data.frame (4), cbind (4), names (4), switch (4), drop (3), for (3), is.na (3), suppressWarnings (3), colnames (2), do.call (2), mean (2), min (2), numeric (2), rep (2), rev (2), rownames (2), split (2), strsplit (2), suppressMessages (2), unique (2), anyDuplicated (1), apply (1), as.character (1), character (1), duplicated (1), factor (1), grepl (1), levels (1), list.files (1), ls (1), mapply (1), paste0 (1), rbind (1), row.names (1), seq_len (1), seq.int (1), sum (1), system.file (1), unlist (1) spiroget_data (29), get_meta (10), spiro_smooth (10), get_sex (4), to_seconds (4), add_bodymass (2), add_protocol (2), bw_smooth_extract (2), calo.internal (2), check_bb (2), dupl (2), get_anonid (2), get_smooth_data (2), get_wrongcol_string (2), getstepmeans (2), gettime (2), hr_import (2), import_xml (2), replace_intna (2), smooth_match (2), spiro_import (2), spiro_interpolate (2), spiro_interpolate.internal (2), spiro_plot.guess_units (2), spiro_plot.internal (2), to_number (2), add_hr (1), bw_filter (1), calo (1), get_features (1), get_protocol (1), get_testtype (1), guess_device (1), hr_interpolate (1), knit_print.spiro (1), mavg (1), print.spiro (1), pt_const (1), pt_pre (1), pt_steps (1), pt_wu (1), set_protocol (1), set_protocol_manual (1), set_protocol_manual.data.frame (1), set_protocol_manual.default (1), spiro (1), spiro_anonymize (1), spiro_example (1), spiro_import_cortex (1), spiro_import_cosmed (1), spiro_import_vyntus (1), spiro_import_zan (1), spiro_max (1), spiro_plot (1), spiro_plot_EQ (1), spiro_plot_EQCO2 (1), spiro_plot_HR (1), spiro_plot_Pet (1), spiro_plot_RER (1), spiro_plot_VE (1), spiro_plot_vent (1), spiro_plot_VO2 (1), spiro_plot_vslope (1), spiro_smooth.internal (1), spiro_summary (1), theme_spiro (1) utilsdata (106), read.delim (7), head (5), read.csv (3) statssmooth (20), time (13), approx (7), df (7), reshape (5), filter (2), dt (1), end (1) ggplot2aes (20), ggplot (8), labs (7), scale_colour_manual (5), scale_y_continuous (3), sec_axis (3), aes_ (2), scale_color_manual (1), scale_fill_manual (1), theme_minimal (1) xml2xml_find_all (3), xml_text (3), read_xml (2), xml_children (1) readxlread_excel (6) signalbutter (1), filtfilt (1) cowplotplot_grid (1) mgcvs (1) NOTE: Some imported packages appear to have no associated function calls; please ensure with author that these 'Imports' are listed appropriately. 2. Statistical PropertiesThis package features some noteworthy statistical properties which may need to be clarified by a handling editor prior to progressing. Details of statistical properties (click to open)
The package has:
Statistical properties of package structure as distributional percentiles in relation to all current CRAN packages
All parameters are explained as tooltips in the locally-rendered HTML version of this report generated by the The final measure (
2a. Network visualisationClick to see the interactive network visualisation of calls between objects in package 3.
|
id | name | conclusion | sha | run_number | date |
---|---|---|---|---|---|
2468348888 | pages build and deployment | success | cd779d | 27 | 2022-06-09 |
2468334160 | pkgdown | success | b5db6e | 70 | 2022-06-09 |
2468334164 | R-CMD-check | failure | b5db6e | 42 | 2022-06-09 |
2468334158 | test-coverage | success | b5db6e | 41 | 2022-06-09 |
3b. goodpractice
results
R CMD check
with rcmdcheck
rcmdcheck found no errors, warnings, or notes
Test coverage with covr
Package coverage: 91.29
Cyclocomplexity with cyclocomp
No functions have cyclocomplexity >= 15
Static code analyses with lintr
lintr found the following 1 potential issues:
message | number of times |
---|---|
Lines should not be more than 80 characters. | 1 |
Package Versions
package | version |
---|---|
pkgstats | 0.0.4.75 |
pkgcheck | 0.0.3.60 |
Editor-in-Chief Instructions:
This package is in top shape and may be passed on to a handling editor
Hi @smnnlt ! Thank you for the full submission and your proactive work addressing the bots feedback. I'm currently seeking a handling editor and hope to kick-off the full review soon. |
@ropensci-review-bot assign @melvidoni as editor |
Assigned! @melvidoni is now the editor |
@ropensci-review-bot seeking reviewers |
Please add this badge to the README of your package repository: [![Status at rOpenSci Software Peer Review](https://badges.ropensci.org/541_status.svg)](https://github.com/ropensci/software-review/issues/541) Furthermore, if your package does not have a NEWS.md file yet, please create one to capture the changes made during the review process. See https://devguide.ropensci.org/releasing.html#news |
I'm having some issues with finding reviewers. Please bear with me. |
@ropensci-review-bot assign @jameshunterbr as reviewer |
@jameshunterbr added to the reviewers list. Review due date is 2022-07-11. Thanks @jameshunterbr for accepting to review! Please refer to our reviewer guide. |
@jameshunterbr: If you haven't done so, please fill this form for us to update our reviewers records. |
@smnnlt Just to let you know, I'm having trouble finding a second reviewer. I'll keep trying, but please bear with me. |
@ropensci-review-bot assign @manuramon as reviewer |
@manuramon added to the reviewers list. Review due date is 2022-07-20. Thanks @manuramon for accepting to review! Please refer to our reviewer guide. |
@manuramon: If you haven't done so, please fill this form for us to update our reviewers records. |
@ropensci-review-bot submit review #541 (comment) time 4 |
Logged review for manuramon (hours: 4) |
@jameshunterbr You have to add a comment with the review completed as the templated, as the one we just lodged above. You have to follow the review template which is in point 7.1 of the reviewing guide. I can't open the file you uploaded. |
Hi, I've started working on changes in response to the comments in the dev-branch of the package. I'll wait for @jameshunterbr to submit the review in the desired form before I'll respond to all comments here. |
@jameshunterbr Please upload the review in the correct format. |
@smnnlt I do not think @jameshunterbr will be updating the review. Can you access them? Can you please provide the answers here? |
Hi @melvidoni and @smnnlt , I paste below the review submitted by @jameshunterbr in the zip file, in case it helps you. If finally @jameshunterbr uploads the review in a proper format, I will remove this comment. All the best 08/17/22: edited (removed) as @jameshunterbr added his review. |
Package Review*Please check off boxes as applicable, and elaborate in comments below. Your review is not limited to these topics, as described in the reviewer guide*
DocumentationThe package includes all the following forms of documentation:
Functionality
Estimated hours spent reviewing:6
Review Comments
However, if I return to the 0.0.5 "stable version", the package help screen appears. As well, the request for help on the spiro() command failed in the new version (xx.9000):
Likewise, the 0.0.5 version produces the help screen for the spiro() command
|
Sorry about the delay in reformatting and resubmitting the review of
Spiro. I hope this meets your format.
However, the previous version I uploaded was in response to an R package
suggested in your Reviewer's Guidelines. I don't know how I was supposed
to know that that format was not correct.
Sincerely,
James Hunter
|
@smnnlt can you please proceed now? |
Thank you very much for your reviews! I'll respond to all issues raised by each report: Response to @manuramon
Thanks for the comment. I have rewritten the examples to to print only truncated output using the head() function (ropensci/spiro@185d41c).
I shortened the code lines in the vignettes (ropensci/spiro@32597b5). I do not know the source for the R CMD error, since
This is a great idea! I have added an argument
You're completely right, the example database is only data for a single individual and in some cases the user may want to work with data from several individuals at once. The spiro package does currently not support native vectorization, but such functionality is easy to achieve using packages for vectorization such as {purrr}. For example, the case you mentioned (simultaneously vectorizing over individuals' data files and body mass data) could be dealt with Response to @jameshunterbr
All exported functions should now have documentation pages including examples (ropensci/spiro@cfb64f1).
The package has two vignettes (also available on its website). To be able to view them locally, be sure to state
I'm sorry, but I could not reproduce these issues. On my devices, the package successfully builds the documentation pages when being installed.
Thank for pointing out this important issue! I have renamed the functions that may cause name conflicts with popular packages (ropensci/spiro@0c7b2ed & ropensci/spiro@0199249).
That's no problem. You may visit the project's Codecov page to get an impression on the package's code coverage. Thanks again for both of your reports @manuramon @jameshunterbr . I have added you to the |
@ropensci-review-bot submit review time 4 |
Logged review for jameshunterbr (hours: 4) |
Dear @jameshunterbr and @manuramon can you please check the changes on the post above? Let me know what you think. |
I have looked through the new changes that Simon has made and he has responded to my comments well. I would think he might be ready to change versions. What I see now, especially in terms of documentation, is much better and ready for publication. |
Hi all. @melvidoni I have nothing more to add to this review. All the best. |
@ropensci-review-bot approve spiro |
Approved! Thanks @smnnlt for submitting and @jameshunterbr, @manuramon for your reviews! 😁 To-dos:
Should you want to acknowledge your reviewers in your package DESCRIPTION, you can do so by making them Welcome aboard! We'd love to host a post about your package - either a short introduction to it with an example for a technical audience or a longer post with some narrative about its development or something you learned, and an example of its use for a broader readership. If you are interested, consult the blog guide, and tag @ropensci/blog-editors in your reply. They will get in touch about timing and can answer any questions. We maintain an online book with our best practice and tips, this chapter starts the 3d section that's about guidance for after onboarding (with advice on releases, package marketing, GitHub grooming); the guide also feature CRAN gotchas. Please tell us what could be improved. Last but not least, you can volunteer as a reviewer via filling a short form. |
@ropensci-review-bot finalize transfer of spiro |
Transfer completed. |
Thanks for responding to the issues we raised and for the mention in the
DESCRIPTION file. It would be fine to add me as a reviewer in the
Acknowledgement section. Thank you.
Best regards,
James Hunter
—————————————————
James R. Hunter, Ph.D.
Laboratório de Retrovirologia
Disciplina de Infectologia
Departamento de Medicina
Escola Paulista de Medicina
Universidade Federal de São Paulo
Cel: (11) 9-5327-5656
Rua Pedro de Toledo 669
6º Andar Fundos
04039-032 São Paulo, SP, BRASIL
Fone (11) 5576-4834
—————————————————
------ Original Message ------
From "Simon Nolte" ***@***.***>
To "ropensci/software-review" ***@***.***>
Cc "James Hunter" ***@***.***>; "Mention"
***@***.***>
Date 8/8/2022 15:32:59
Subject Re: [ropensci/software-review] spiro: Manage Data from
Cardiopulmonary Exercise Testing (Issue #541)
Hi @manuramon ***@***.***
<https://github.com/jameshunterbr>
Thank you very much for your reviews! I'll respond to all issues raised
by each report:
Response to @manuramon <https://github.com/manuramon>
>As a suggestion, some of the examples show the functionality of the
>functions without assigning the output to a target, which results in
>printing the entire (truncated) database on the screen. In my opinion,
>I think it would be preferable to display only the header of that
>output. An alternative solution could be to modify the print.spiro
>function to show only a set of rows.
>
Thanks for the comment. I have rewritten the examples to to print only
truncated output using the head() function ***@***.***
<ropensci/spiro@185d41c>).
>Package testing with pkgcheck or goodpractice::gp result in some
>warnings on unit tests (81% of code lines are covered by test) and
>length of code lines in vignette files. The pkgcheck function has also
>retuned a R CMD check error in the DESCRIPTION file -> Required fields
>missing or empty:'Author' 'Maintainer'
>
I shortened the code lines in the vignettes ***@***.***
<ropensci/spiro@32597b5>). I do not know the
source for the R CMD error, since devtools::check() and R CMD check via
CI do not throw any errors.
>Functions included in the package works as expected. A suggestion for
>spiro_plot function would be to include and argument to define the
>layout of the plot. I think it is easy to implement and could help to
>obtain graphs in a desirable layout (3x3 by default), especially when
>a subset of the 9 graphs is plotted.
>
This is a great idea! I have added an argument grid_args to the
spiro_plot() function, which passes arguments to the internal
cowplot::plot_grid() call ***@***.***
<ropensci/spiro@5358f33>). This allows to
modify the layout of the plot arrangement (e.g. size, labels,
alignment).
>A doubt about the functionality of the package is whether the
>functions allow to vectorize the actions across participants. If I
>understood correctly, the example databases are data measured on the
>same individual (one only) and, for example, the correction for body
>mass is done by giving the body mass data of this individual. Is it
>possible to read databases containing information from several
>individuals and work with the functions per individual? Maybe this
>question does not make sense and in this field it is usual to work
>with each file separately.
>
You're completely right, the example database is only data for a single
individual and in some cases the user may want to work with data from
several individuals at once. The spiro package does currently not
support native vectorization, but such functionality is easy to achieve
using packages for vectorization such as {purrr}. For example, the case
you mentioned (simultaneously vectorizing over individuals' data files
and body mass data) could be dealt with purrr::map2(.x =
list_of_rawdata, .y = list_of_bodymass, .f = spiro). I thought about
adding such an example to the vignettes (or creating a new one), but I
don't want the package to have a dependency on {purrr}. I may write
this use case up in a blog post or embedded it into the article I plan
to submit to JOSS.
Response to @jameshunterbr <https://github.com/jameshunterbr>
>My first observation is that all the functions listed in the main help
>screen have not yet been programmed. So either those that are
>unfinished should be removed and re-inserted in a later version when
>they are completed.
>
All exported functions should now have documentation pages including
examples ***@***.***
<ropensci/spiro@cfb64f1>).
>Likewise, there are no vignettes and there should be. In the README
>file you have examples, but they should be more complete so that
>someone in some outlying NHS locale can use them without constant
>referral to you.
>
The package has two vignettes (also available on its website
<https://smnnlt.github.io/spiro/>). To be able to view them locally, be
sure to state build_vignettes = TRUE when running
remotes::install_github(). I have added some more context to the README
***@***.***
<ropensci/spiro@68e739a>). Further examples can
be found in the vignettes.
>In the newest version, the response to the installation command
***@***.***") I received is the
>following: URL '/help/library/spiro/html/00Index.html' not found.
>However, if I return to the 0.0.5 "stable version", the package help
>screen appears. As well, the request for help on the spiro() command
>failed in the new version (xx.9000): URL
>'/help/library/spiro/help/spiro' not found.
>
I'm sorry, but I could not reproduce these issues. On my devices, the
package successfully builds the documentation pages when being
installed.
>You have some commands with very common command names like "pre" and
>"steps". I would rename these to something more specific to your
>project to avoid conflicts with other packages.
>
Thank for pointing out this important issue! I have renamed the
functions that may cause name conflicts with popular packages
***@***.*** <ropensci/spiro@0c7b2ed>
& ***@***.***
<ropensci/spiro@0199249>).
>Regarding tests, they appear to cover the principal functions of the
>package and are complete. However, my system is not testing the
>coverage for some reason. Sorry.
>
That's no problem. You may visit the project's Codecov
<https://app.codecov.io/gh/smnnlt/spiro> page to get an impression on
the package's code coverage.
Thanks again for both of your reports @manuramon
***@***.***
<https://github.com/jameshunterbr> . I have added you to the
DESCRIPTION as package reviewers ***@***.***
<ropensci/spiro@a980365>). If you're fine with
it, I would also add you to the 'Acknowledgement' section in the
README.
—
Reply to this email directly, view it on GitHub
<#541 (comment)>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/AASN2TCOS2VRAED3ZGDM3LDVYFHFXANCNFSM5YJSNCDA>.
You are receiving this because you were mentioned.Message ID:
***@***.***>
…--
This email has been checked for viruses by Avast antivirus software.
www.avast.com
|
Date accepted: 2022-08-17
Due date for @jameshunterbr: 2022-07-11Submitting Author Name: Simon Nolte
Submitting Author Github Handle: @smnnlt
Repository: https://github.com/smnnlt/spiro
Version submitted: 0.0.5
Submission type: Standard
Editor: @melvidoni
Reviewers: @jameshunterbr, @manuramon
Due date for @manuramon: 2022-07-22
Archive: TBD
Version accepted: TBD
Language: en
Scope
Please indicate which category or categories from our package fit policies this package falls under: (Please check an appropriate box below. If you are unsure, we suggest you make a pre-submission inquiry.):
Explain how and why the package falls under these categories (briefly, 1-2 sentences):
The spiro package allows to read and process data from raw data files of different metabolic carts.
This package is primarily written for researchers in exercise science, who want to make their analysis of cardiopulmonary exercise testing more standardized, reproducible and faster. It may also be used in a commercial context (e.g., training diagnostics business).
The whippr package has a different approach to the same problem. Compared to whippr, spiro has a more automated and simpler data workflow (basically one function for reading and processing data, and one function for summarizing or plotting). spiro has several relevant additional features, that whippr does not have: Automated detection and manual generation of exercise test protocols; data summary by load steps; adding and synchronizing external heart rate data; import of raw data file meta data; advanced data filtering methods (e.g., Butterworth filters; moving breath averages); Wasserman 9-Panel-Plots. Compared to whippr, the spiro package does not offer methods for VO2 kinetics analysis and automated outlier removal.
This package works with cardiopulmonary exercise data, which is per se sensitive health data. Meta data from the original raw data files is read and anonymized by default (with the exception of data on body mass, which is necessary to perform certain calculations of variables). The anonymization can optionally be deactivated by means of a function argument [spiro(anonymize = FALSE)], so that meta data is saved alongside the processed data. This may be helpful in some settings when there is no intent to share the data. Sharing of the resulting data in such situations could potentially reveal personal information, which is why this option is not activated by default.
#537
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