HDTD: Statistical Inference about the Mean Matrix and the Covariance Matrices in High-Dimensional Transposable Data (HDTD)
Version 1.10.0

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.

AuthorAnestis Touloumis, John C. Marioni and Simon Tavare
Bioconductor views DifferentialExpression GeneExpression Genetics Microarray Sequencing Software StatisticalMethod
Date of publicationNone
MaintainerAnestis Touloumis <A.Touloumis@brighton.ac.uk>
LicenseGPL-3
Version1.10.0
Package repositoryView on Bioconductor
InstallationInstall the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("HDTD")

Popular man pages

covmat.hat: Estimation of the Row and of the Column Covariance Matrices.
covmat.ts: Nonparametric Tests for the Row or Column Covariance Matrix
HDTD: Estimation and Hypothesis Testing in High-Dimensional...
meanmat.hat: Estimation the Mean Matrix
meanmat.ts: Nonparametric Tests for the Mean Matrix
transposedata: Interchanging the Row and Column Variables in Transposable...
VEGFmouse: Vascular Endothelial Growth Factor Mouse Dataset
See all...

All man pages Function index File listing

Man pages

centerdata: Centering Transposable Data
covmat.hat: Estimation of the Row and of the Column Covariance Matrices.
covmat.ts: Nonparametric Tests for the Row or Column Covariance Matrix
HDTD: Estimation and Hypothesis Testing in High-Dimensional...
meanmat.hat: Estimation the Mean Matrix
meanmat.ts: Nonparametric Tests for the Mean Matrix
orderdata: Reordering Row and Column Variables
transposedata: Interchanging the Row and Column Variables in Transposable...
VEGFmouse: Vascular Endothelial Growth Factor Mouse Dataset

Functions

HDTD Man page
HDTD-package Man page
VEGFmouse Man page
centerdata Man page Source code
covmat.hat Man page Source code
covmat.hat.generic Source code
covmat.ts Man page Source code
covmat.ts.generic Source code
meanmat.hat Man page Source code
meanmat.ts Man page Source code
meanmat.ts.generic Source code
orderdata Man page Source code
print.covmat.hat Man page Source code
print.covmat.ts Man page Source code
print.meanmat.hat Man page Source code
print.meanmat.ts Man page Source code
projmatrix Source code
transposedata Man page Source code

Files

DESCRIPTION
NAMESPACE
R
R/centerdata.R
R/covmat.hat.R
R/covmat.hat.generic.R
R/covmat.ts.R
R/covmat.ts.generic.R
R/meanmat.hat.R
R/meanmat.ts.R
R/meanmat.ts.generic.R
R/orderdata.R
R/print.covmat.hat.R
R/print.covmat.ts.R
R/print.meanmat.hat.R
R/print.meanmat.ts.R
R/projmatrix.R
R/transposedata.R
build
build/vignette.rds
data
data/VEGFmouse.rda
inst
inst/CITATION
inst/NEWS
inst/doc
inst/doc/Manual.R
inst/doc/Manual.Rnw
inst/doc/Manual.pdf
man
man/HDTD.Rd
man/VEGFmouse.Rd
man/centerdata.Rd
man/covmat.hat.Rd
man/covmat.ts.Rd
man/meanmat.hat.Rd
man/meanmat.ts.Rd
man/orderdata.Rd
man/transposedata.Rd
vignettes
vignettes/Manual.Rnw
HDTD documentation built on May 20, 2017, 10:34 p.m.

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