Package: LinkHD
Type: Package
Title: LinkHD: a versatile framework to explore and integrate
        heterogeneous data
Version: 1.4.0
Author: Laura M. Zingaretti [aut, cre]
Maintainer: "Laura M Zingaretti" <m.lau.zingaretti@gmail.com>
Imports: scales, cluster, graphics, ggpubr, gridExtra, vegan, rio,
        MultiAssayExperiment, emmeans, reshape2, data.table
Depends: R(>= 3.6.0), methods, ggplot2, stats
VignetteBuilder: knitr
Suggests: MASS (>= 7.3.0), knitr, rmarkdown, BiocStyle
biocViews: Classification,MultipleComparison,Regression,Software
output: BiocStyle::html_document
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' 'VarSelection-Class.R' 'Auxiliares.R'
        'ComputeDistance.R' 'dAB.R' 'OTU2Taxa.R'
LazyData: true
NeedsCompilation: no
Roxygen: list(wrap=FALSE)
RoxygenNote: 6.1.1
git_url: https://git.bioconductor.org/packages/LinkHD
git_branch: RELEASE_3_12
git_last_commit: 5ac4205
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
Packaged: 2020-10-28 02:33:32 UTC; biocbuild
Built: R 4.0.3; ; 2020-10-28 14:33:15 UTC; windows
