RUCova

[astaburuaga-garcia]

Update the following URL to point to the GitHub repository of
the package you wish to submit to Bioconductor

• Repository: https://github.com/molsysbio/RUCova

Confirm the following by editing each check box to '[x]'

• I understand that by submitting my package to Bioconductor,
  the package source and all review commentary are visible to the
  general public.

• I have read the Bioconductor Package Submission
  instructions. My package is consistent with the Bioconductor
  Package Guidelines.

• I understand Bioconductor Package Naming Policy and acknowledge
  Bioconductor may retain use of package name.

• I understand that a minimum requirement for package acceptance
  is to pass R CMD check and R CMD BiocCheck with no ERROR or WARNINGS.
  Passing these checks does not result in automatic acceptance. The
  package will then undergo a formal review and recommendations for
  acceptance regarding other Bioconductor standards will be addressed.

• My package addresses statistical or bioinformatic issues related
  to the analysis and comprehension of high throughput genomic data.

• I am committed to the long-term maintenance of my package. This
  includes monitoring the support site for issues that users may
  have, subscribing to the bioc-devel mailing list to stay aware
  of developments in the Bioconductor community, responding promptly
  to requests for updates from the Core team in response to changes in
  R or underlying software.

• I am familiar with the Bioconductor code of conduct and
  agree to abide by it.

I am familiar with the essential aspects of Bioconductor software
management, including:

• The 'devel' branch for new packages and features.
• The stable 'release' branch, made available every six
  months, for bug fixes.
• Bioconductor version control using Git
  (optionally via GitHub).

For questions/help about the submission process, including questions about
the output of the automatic reports generated by the SPB (Single Package
Builder), please use the #package-submission channel of our Community Slack.
Follow the link on the home page of the Bioconductor website to sign up.

[bioc-issue-bot]

Hi @astaburuaga-garcia

Thanks for submitting your package. We are taking a quick
look at it and you will hear back from us soon.

The DESCRIPTION file for this package is:

Package: RUCova
Title: Removes unwanted covariance from mass cytometry data 
Version: 0.99.0
Authors@R: person("Rosario", "Astaburuaga-García", , "[email protected]", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1179-4080"))
Description: Mass cytometry data is high dimensional and contains unwanted covariance induced by variations in cell size, staining and other technical artefacts. This package uses a set of linear models to model and remove unwanted covariance from this data.   
License: use_gpl3_license()
Encoding: UTF-8
biocViews: Software, SingleCell
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Suggests: 
    knitr,
    rmarkdown,
    BiocManager
Imports:
    dplyr,
    tidyr,
    fastDummies,
    ggcorrplot,
    ggh4x,
    ggplot2,
    ggpubr,
    ggridges,
    stringr,
    tibble,
    Matrix,
    ComplexHeatmap,
    grid,
    remotes,
    circlize,
VignetteBuilder: knitr
Depends: 
    R (>= 2.10)
LazyData: true