HDTD
Statistical Inference about the Mean Matrix and the Covariance Matrices in High-Dimensional Transposable Data (HDTD)
Bioconductor version: Release (3.17)
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("HDTD")):
Installation
To install this package, start R (version "4.3") 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")| HDTD to Analyze High-Dimensional Transposable Data | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DifferentialExpression, GeneExpression, Genetics, Microarray, Sequencing, Software, StatisticalMethod |
| Version | 1.34.1 |
| In Bioconductor since | BioC 3.0 (R-3.1) (9 years) |
| License | GPL-3 |
| Depends | R (>= 4.1) |
| Imports | stats, Rcpp (>= 1.0.1) |
| Linking To | Rcpp, RcppArmadillo |
| Suggests | knitr, rmarkdown |
| System Requirements | |
| Enhances | |
| URL | http://github.com/AnestisTouloumis/HDTD |
| Bug Reports | http://github.com/AnestisTouloumis/HDTD/issues |
See More
| 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_1.34.1.tar.gz |
| Windows Binary | HDTD_1.34.1.zip (64-bit only) |
| macOS Binary (x86_64) | HDTD_1.34.1.tgz |
| macOS Binary (arm64) | HDTD_1.34.1.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/HDTD |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/HDTD |
| Bioc Package Browser | https://code.bioconductor.org/browse/HDTD/ |
| Package Short Url | https://bioconductor.org/packages/HDTD/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.17 | Source Archive |