Submission - melt: Multiple Empirical Likelihood Tests

[markean]

Date accepted: 2022-09-20

Submitting Author Name: Eunseop Kim Submitting Author Github Handle: !--author1-->@markean<!--end-author1-- Repository: https://github.com/markean/melt Version submitted: 1.6.0.9000 Submission type: Stats Badge grade: silver Editor: !--editor-->@Paula-Moraga<!--end-editor-- Reviewers: @pchausse, @awstringer1

Due date for @pchausse: 2022-09-05 Due date for @awstringer1: 2022-08-29

Archive: TBD Version accepted: TBD Language: en

• Paste the full DESCRIPTION file inside a code block below:

Type: Package
Package: melt
Title: Multiple Empirical Likelihood Tests
Version: 1.6.0.9000
Authors@R: c(
    person("Eunseop", "Kim", , "kim.7302@osu.edu", role = c("aut", "cre")),
    person("Steven", "MacEachern", role = c("ctb", "ths")),
    person("Mario", "Peruggia", role = c("ctb", "ths"))
  )
Description: Performs multiple empirical likelihood tests for linear and
    generalized linear models. The core computational routines are
    implemented using the 'Eigen' C++ library and 'RcppEigen' interface,
    with OpenMP for parallel computation. Details of multiple testing
    procedures are given in Kim, MacEachern, and Peruggia (2021)
    <arxiv:2112.09206>.
License: GPL (>= 2)
URL: https://github.com/markean/melt, https://markean.github.io/melt/
BugReports: https://github.com/markean/melt/issues
Depends: 
    R (>= 4.0.0)
Imports: 
    graphics,
    methods,
    Rcpp,
    stats
Suggests: 
    covr,
    ggplot2,
    knitr,
    microbenchmark,
    rmarkdown,
    spelling,
    testthat (>= 3.0.0),
    withr
LinkingTo: 
    BH,
    dqrng,
    Rcpp,
    RcppEigen
VignetteBuilder: 
    knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
Roxygen: list (markdown = TRUE, roclets = c ("namespace", "rd",
    "srr::srr_stats_roclet"))
RoxygenNote: 7.2.0

Pre-submission Inquiry

• [x] A pre-submission inquiry has been approved in issue #549

General Information

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

• Paste your responses to our General Standard G1.1 here, describing whether your software is: The package attempts the first implementation of the nested bilevel optimization approach within R to compute constrained empirical likelihood. The inner layer Newton-Raphson method for empirical likelihood is written in C++, enabling faster computation than other routines written in R.

• (If applicable) Does your package comply with our guidance around Ethics, Data Privacy and Human Subjects Research? Yes.

Badging

• What grade of badge are you aiming for? (bronze, silver, gold) Silver.

• If aiming for silver or gold, describe which of the four aspects listed in the Guide for Authors chapter the package fulfils (at least one aspect for silver; three for gold) 1) Compliance with a good number of standards beyond those identified as minimally necessary. 2) Have a demonstrated generality of usage beyond one single envisioned use case. In my opinion, the generality comes from the applicability of empirical likelihood methods to (generalized) linear models and the ability to test linear hypotheses of choice.

Technical checks

Confirm each of the following by checking the box.

• [x] I have read the rOpenSci packaging guide.
• [x] I have read the author guide and I expect to maintain this package for at least 2 years or have another maintainer identified.
• [x] I/we have read the Statistical Software Peer Review Guide for Authors.
• [x] I/we have run autotest checks on the package, and ensured no tests fail.
• [x] The srr_stats_pre_submit() function confirms this package may be submitted.
• [x] The pkgcheck() function confirms this package may be submitted - alternatively, please explain reasons for any checks which your package is unable to pass.

This package:

• [x] does not violate the Terms of Service of any service it interacts with.
• [x] has a CRAN and OSI accepted license.
• [x] contains a README with instructions for installing the development version.

Publication options

• [x] Do you intend for this package to go on CRAN? The package is on CRAN.
• [ ] Do you intend for this package to go on Bioconductor?

Code of conduct

• [x] I agree to abide by rOpenSci's Code of Conduct during the review process and in maintaining my package should it be accepted.

[markean]

@ropensci-review-bot finalize transfer of melt

[ropensci-review-bot]

Transfer completed. The melt team is now owner of the repository and the author has been invited to the team