LTLA/ResidualMatrix: Creating a DelayedMatrix of Regression Residuals

Provides delayed computation of a matrix of residuals after fitting a linear model to each column of an input matrix. Also supports partial computation of residuals where selected factors are to be preserved in the output matrix. Implements a number of efficient methods for operating on the delayed matrix of residuals, most notably matrix multiplication and calculation of row/column sums or means.

Getting started

Package details

Bioconductor views BatchEffect DataRepresentation ExperimentalDesign Regression Software
Maintainer
LicenseGPL-3
Version1.7.1
URL https://github.com/LTLA/ResidualMatrix
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("LTLA/ResidualMatrix")
LTLA/ResidualMatrix documentation built on Aug. 16, 2022, 10:40 a.m.