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outsider -- submission #282

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@DomBennett

Description

@DomBennett

Submitting Author: Dom Bennett (@DomBennett)
Repository: https://github.com/AntonelliLab/outsider
Version submitted: 0.0.0
Editor: @annakrystalli
Reviewer 1: @nuest
Reviewer 2: @hrbrmstr
Archive: TBD
Version accepted: 0.1.0


  • Paste the full DESCRIPTION file inside a code block below:
Package: outsider
Type: Package
Title: Install and run programs, outside of R, inside of R
Version: 0.0.0
Authors@R: person("Dom", "Bennett", role = c("aut", "cre"),
    email = "dominic.john.bennett@gmail.com",
    comment = c(ORCID = "0000-0003-2722-1359"))
Maintainer: Dom Bennett <dominic.john.bennett@gmail.com>
Description: Install and run external command-line programs in R through use of
    'Docker' <https://www.docker.com/> and 'GitHub' <http://github.com/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
SystemRequirements: docker (>=18.0.0)
URL: https://antonellilab.github.io/outsider
BugReports: https://github.com/antonellilab/outsider/issues
Language: en-GB
Depends:
    R (>= 3.3.0)
Imports:
    utils (>= 3.1),
    crayon,
    devtools (>= 1.1),
    jsonlite (>= 1.1),
    sys (>= 2.1),
    yaml (>= 2.0),
    callr (>= 3.0.0),
    withr (>= 2.0),
    stringr,
    tibble,
    cli,
    praise
Suggests:
    testthat (>= 2.0),
    knitr (>= 1.0)

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
    • database access
    • data munging
    • data deposition
    • reproducibility
    • geospatial data
    • text analysis
  • Explain how and why the package falls under these categories (briefly, 1-2 sentences):

The aim of the package is to enable R users to install and run, within R, software, packages and programs external to R. This allows users to more readily create workflows and pipelines that are portable, reproducible and make use of a wide range of available methods outside of R.

  • Who is the target audience and what are scientific applications of this package?

The target audience are data scientists, bioinformaticians and general scientists interested in running external programs within R.

There are many available packages that allow the interfacing between software external to R (e.g. packages for interacting with python or java). There does not, however, seem to be any packages that make use of docker (www.docker.com) to import external software as this package does. The closest packages to this one appear to be things like rocker. Rocker, however, uses docker to make R more portable, not external software accessible within R.

  • If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted.

Technical checks

Confirm each of the following by checking the box. This package:

Publication options

JOSS Options
  • The package has an obvious research application according to JOSS's definition.
    • The package contains a paper.md matching JOSS's requirements with a high-level description in the package root or in inst/.
    • The package is deposited in a long-term repository with the DOI:
    • (Do not submit your package separately to JOSS)
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)

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