CRAN/E | rrcov3way

rrcov3way

Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data

Installation

About

Provides methods for multiway data analysis by means of Parafac and Tucker 3 models. Robust versions (Engelen and Hubert (2011) doi:10.1016/j.aca.2011.04.043) and versions for compositional data are also provided (Gallo (2015) doi:10.1080/03610926.2013.798664, Di Palma et al. (2018) doi:10.1080/02664763.2017.1381669). Several optimization methods alternative to ALS are available (Simonacci and Gallo (2019) doi:10.1016/j.chemolab.2019.103822, Simonacci and Gallo (2020) doi:10.1007/s00500-019-04320-9).

github.com/valentint/rrcov3way
Bug report File report

Key Metrics

Version 0.5-0
R ≥ 2.10
Published 2024-02-06 78 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks rrcov3way results

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Maintainer

Maintainer

Valentin Todorov

valentin.todorov@chello.at

Authors

Valentin Todorov

aut / cre

Violetta Simonacci

aut

Maria Anna Di Palma

aut

Michele Gallo

aut

Material

README
ChangeLog
Reference manual
Package source

Vignettes

Robust Tools for Three-way Component Analysis of Compositional Data: The R package rrcov3way

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rrcov3way archive

Depends

R ≥ 2.10

Imports

rrcov
robustbase
ThreeWay
nnls
pracma

Suggests

ggplot2
reshape2
xtable
covr