HGray384/pcaNet: Probabilistic principal components analysis - covariance estimation and network reconstruction

Various implementations of algorithms for probabilistic PCA, with an emphasis on covariance matrix estimation and network reconstruction in the presence of missing values.

Getting started

Package details

AuthorPaul DW Kirk and Harry Gray
Bioconductor views pcaMethods
Maintainer<[email protected]> <[email protected]>
LicenseGPL (>= 2) | file LICENSE
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("HGray384/pcaNet")
HGray384/pcaNet documentation built on Oct. 5, 2019, 3:36 p.m.