-
-
Notifications
You must be signed in to change notification settings - Fork 106
Description
Date accepted: 2023-12-02
Submitting Author Name: Victor Ordu
Submitting Author Github Handle: @BroVic
Other Package Authors Github handles: (comma separated, delete if none)
Repository: https://github.com/BroVic/naijR
Version submitted: 0.6.1
Submission type: Standard
Editor: @emilyriederer
Reviewers: @mcsiple, @cagrigokcek
Archive: TBD
Version accepted: TBD
Language: en
- Paste the full DESCRIPTION file inside a code block below:
Package: naijR
Type: Package
Title: Operations to Ease Data Analyses Specific to Nigeria
Version: 0.6.1
Depends: R (>= 3.6)
Imports:
RColorBrewer (>= 1.1.2),
cli (>= 3.6.0),
lifecycle (>= 0.2.0),
grDevices,
graphics,
mapdata (>= 2.3.0),
maps (>= 3.3.0),
rlang (>= 0.4.0),
sf (>= 1.0.13),
stats,
stringi (>= 1.7.6),
utils
Suggests:
ISOcodes,
covr,
here,
knitr,
purrr,
readxl,
rmarkdown,
testthat (>= 3.0.0),
usethis
Authors@R: person("Victor", "Ordu",
email = "victorordu@outlook.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-3716-0668"))
Description: A set of convenience functions as well as geographical/political
data about Nigeria, aimed at simplifying work with data and information that
are specific to the country.
License: GPL-3
LazyData: TRUE
Encoding: UTF-8
RoxygenNote: 7.2.3
VignetteBuilder: knitr
RdMacros: lifecycle
URL: https://brovic.github.io/naijR/
BugReports: https://github.com/BroVic/naijR/issues
Config/testthat/edition: 3
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.):
- data retrieval
- data extraction
- data munging
- data deposition
- data validation and testing
- workflow automation
- version control
- citation management and bibliometrics
- scientific software wrappers
- field and lab reproducibility tools
- database software bindings
- geospatial data
- text analysis
-
Explain how and why the package falls under these categories (briefly, 1-2 sentences):
naijR is an R package that contains a suite of functions that make it easier to deal with data and datasets about the country Nigeria and its constituent parts. -
Who is the target audience and what are scientific applications of this package?
Anyone needing Nigerian geospatial data. -
Are there other R packages that accomplish the same thing? If so, how does yours differ or meet our criteria for best-in-category?
Not to my knowledge. -
(If applicable) Does your package comply with our guidance around Ethics, Data Privacy and Human Subjects Research?
Yes -
If you made a pre-submission inquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted.
-
Explain reasons for any
pkgcheckitems which your package is unable to pass.
Technical checks
Confirm each of the following by checking the box.
- I have read the rOpenSci packaging guide.
- I have read the author guide and I expect to maintain this package for at least 2 years or to find a replacement.
This package:
- does not violate the Terms of Service of any service it interacts with.
- has a CRAN and OSI accepted license.
- contains a README with instructions for installing the development version.
- includes documentation with examples for all functions, created with roxygen2.
- contains a vignette with examples of its essential functions and uses.
- has a test suite.
- has continuous integration, including reporting of test coverage.
Publication options
-
Do you intend for this package to go on CRAN?
-
Do you intend for this package to go on Bioconductor?
-
Do you wish to submit an Applications Article about your package to Methods in Ecology and Evolution? If so:
MEE Options
- The package is novel and will be of interest to the broad readership of the journal.
- The manuscript describing the package is no longer than 3000 words.
- You intend to archive the code for the package in a long-term repository which meets the requirements of the journal (see MEE's Policy on Publishing Code)
- (Scope: Do consider MEE's Aims and Scope for your manuscript. We make no guarantee that your manuscript will be within MEE scope.)
- (Although not required, we strongly recommend having a full manuscript prepared when you submit here.)
- (Please do not submit your package separately to Methods in Ecology and Evolution)
Code of conduct
- I agree to abide by rOpenSci's Code of Conduct during the review process and in maintaining my package should it be accepted.