HDTD
This is the released version of HDTD; for the devel version, see HDTD.
All Bioconductor versions of HDTD
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0
Statistical Inference about the Mean Matrix and the Covariance Matrices in High-Dimensional Transposable Data (HDTD)
Bioconductor version: 3.23 · Package version: 1.46.0
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>
Citation
From within R, enter citation("HDTD"):
Anestis Touloumis, John C. Marioni, Simon Tavar\'{e}. HDTD: Statistical Inference about the Mean Matrix and the Covariance Matrices in High-Dimensional Transposable Data (HDTD). doi:10.18129/B9.bioc.HDTD, R package version 1.46.0, https://bioconductor.org/packages/HDTD.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") 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.
Details
| Version | 1.46.0 |
| License | GPL-3 |
| URL | http://github.com/AnestisTouloumis/HDTD |
| Bug Reports | http://github.com/AnestisTouloumis/HDTD/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.0 (R-3.1) (11 years) |
| Downloads rank | 2035 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, GeneExpression, Genetics, Microarray, Sequencing, Software, StatisticalMethod |
| Package Short Url | https://bioconductor.org/packages/HDTD/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HDTD")| Using HDTD to Analyze High-Dimensional Transposable Data: An Application in Genetics | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | HDTD_1.46.0.tar.gz |
| Windows binary (x86_64) | HDTD_1.46.0.zip |
| macOS binary (arm64) | HDTD_1.46.0.tgz |
| macOS binary (x86_64) | HDTD_1.46.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/HDTD |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/HDTD |
| Package Downloads Report | Download Stats |