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pcaMethods

A collection of PCA methods

Bioconductor version: 3.24 · Package version: 2.5.0

Provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method for missing value estimation is included for comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA on incomplete data as well as for accurate missing value estimation. A set of methods for printing and plotting the results is also provided. All PCA methods make use of the same data structure (pcaRes) to provide a common interface to the PCA results. Initiated at the Max-Planck Institute for Molecular Plant Physiology, Golm, Germany.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("pcaMethods")

Details

MaintainerHenning Redestig <henning.red@gmail.com>
AuthorWolfram Stacklies, Henning Redestig, Kevin Wright
LicenseGPL (>= 3)
URLhttps://github.com/hredestig/pcamethods
Bug Reportshttps://github.com/hredestig/pcamethods/issues
System RequirementsRcpp
Downloads rank6955
Source branchdevel
biocViewsBayesian, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagepcaMethods_2.5.0.tar.gz
Windows binary (x86_64)pcaMethods_2.5.0.zip
macOS binary (arm64)pcaMethods_2.5.0.tgz
macOS binary (x86_64)pcaMethods_2.5.0.tgz
Dependencies

Depends: Biobase, methods

Imports: BiocGenerics, Rcpp (>= 0.11.3), MASS

LinkingTo: Rcpp

Suggests: matrixStats, lattice, ggplot2

Reverse dependencies

Depends On Me (3): crmn, DiffCorr, imputeLCMD

Imports Me (26): ADAPTS, destiny, FRASER, geneticae, lfproQC, LOST, MAI, MatrixQCvis, MetabolomicsBasics, metabom8, metamorphr, MSnbase, MultiBaC, multiDimBio, notameViz, OUTRIDER, PhosR, pmartR, pmp, polyRAD, promor, santaR, scde, sclValid, scMappR, SomaticSignatures

Suggests Me (9): autonomics, cardelino, MsCoreUtils, mtbls2, notame, pagoda2, QFeatures, qmtools, rsvddpd