bioc-issue-bot
commented
4 years ago Hi @lauzingaretti
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: LinkHD
Type: Package
Title: LinkHD: a versatile framework to explore and integrate heterogeneous data
Version: 1.0
Author: Laura M Zingaretti
Authors@R: as.person(c(
"Laura M Zingaretti <m.lau.zingaretti@gmail.com> [aut, cre]"
))
Maintainer: Laura M Zingaretti <m.lau.zingaretti@gmail.com>
Depends:
R(>= 3.3),
methods,
scales,
ggplot2,
dplyr,
cluster,
graphics,
ggpubr,
reshape,
gridExtra,
vegan,
data.table,
rio
Imports:
methods,
scales,
ggplot2,
dplyr,
cluster,
graphics,
ggpubr,
reshape,
gridExtra,
vegan,
data.table,
rio
Suggests:
MASS (>= 7.3.0),
knitr,
rmarkdown
output: rmarkdown::html_vignette
vignette: >
%\VignetteIndexEntry{LinkHD:Multiple Heterogeneous (communities) Data Integration }
%\VignetteEngine{knitr::rmarkdown}
\usepackage[utf8]{inputenc}
Description: Here we present Link-HD,
an approach to integrate heterogeneous datasets,
as a generalization of STATIS-ACT
(“Structuration des Tableaux A Trois Indices de la Statistique–Analyse Conjointe de Tableaux”),
a family of methods to join and compare information
from multiple subspaces. However, STATIS-ACT has some
drawbacks since it only allows continuous data and
it is unable to establish relationships
between samples and features. In order to tackle these
constraints, we incorporate multiple distance options
and a linear regression based Biplot model in order to stablish relationships between
observations and variable and perform variable selection.
License: GPL-3
Encoding: UTF-8
Collate: 'Read_Data.R' 'DataProcessing.R' 'DistStatis-Class.R' 'LinkData.R' 'CompromisePlot.R' 'VarSelection.R'
'GlobalPlot.R' 'CorrelationPlot.R' 'Selection-Class.R' 'Auxiliares.R' 'ComputeDistance.R' 'dAB.R' 'OTU2Taxa.R'
LazyData: true
NeedsCompilation: no
Roxygen: list(wrap=FALSE)
RoxygenNote: 6.0.1
lshep
lauzingaretti
mtmorgan
Update the following URL to point to the GitHub repository of the package you wish to submit to Bioconductor
Confirm the following by editing each check box to '[x]'
[x] I understand that by submitting my package to Bioconductor, the package source and all review commentary are visible to the general public.
[x] I have read the Bioconductor Package Submission instructions. My package is consistent with the Bioconductor Package Guidelines.
[x] 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.
[x] My package addresses statistical or bioinformatic issues related to the analysis and comprehension of high throughput genomic data.
[x] 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 essential aspects of Bioconductor software management, including:
For help with submitting your package, please subscribe and post questions to the bioc-devel mailing list.