HDTD

DOI: 10.18129/B9.bioc.HDTD    

Statistical Inference about the Mean Matrix and the Covariance Matrices in High-Dimensional Transposable Data (HDTD)

Bioconductor version: Release (3.14)

Characterization of intra-individual variability using physiologically relevant measurements provides important insights into fundamental biological questions ranging from cell type identity to tumor development. For each individual, the data measurements can be written as a matrix with the different subsamples of the individual recorded in the columns and the different phenotypic units recorded in the rows. Datasets of this type are called high-dimensional transposable data. The HDTD package provides functions for conducting statistical inference for the mean relationship between the row and column variables and for the covariance structure within and between the row and column variables.

Author: Anestis Touloumis [cre, aut] , John C. Marioni [aut] , Simon Tavar\'{e} [aut]

Maintainer: Anestis Touloumis <A.Touloumis at brighton.ac.uk>

Installation

To install this package, start R (version "4.1") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("HDTD")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("HDTD")

 

HTML	R Script	HDTD to Analyze High-Dimensional Transposable Data
PDF		Reference Manual
Text		NEWS

Details

biocViews	DifferentialExpression, GeneExpression, Genetics, Microarray, Sequencing, Software, StatisticalMethod
Version	1.28.0
In Bioconductor since	BioC 3.0 (R-3.1) (7.5 years)
License	GPL-3
Depends	R (>= 4.1)
Imports	stats, Rcpp (>= 1.0.1)
LinkingTo	Rcpp, RcppArmadillo
Suggests	knitr, rmarkdown
SystemRequirements
Enhances
URL	http://github.com/AnestisTouloumis/HDTD
BugReports	http://github.com/AnestisTouloumis/HDTD/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	HDTD_1.28.0.tar.gz
Windows Binary	HDTD_1.28.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	HDTD_1.28.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/HDTD
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/HDTD
Package Short Url	https://bioconductor.org/packages/HDTD/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.14	Source Archive