Package: RaJIVE
Title: Robust Angle Based Joint and Individual Variation Explained
Version: 1.0
Authors@R: c(
    person(given = "Erica",
           family = "Ponzi",
           role = c("aut", "cre"),
           email = "erica.ponzi@medisin.uio.no"),
     person(given = "Abhik",
           family = "Ghosh",
           role = c("aut"),
           email = "abhik.ghosh.stat@gmail.com"))
Description: A robust alternative to the aJIVE (angle based Joint and
        Individual Variation Explained) method (Feng et al 2018:
        <doi:10.1016/j.jmva.2018.03.008>) for the estimation of joint
        and individual components in the presence of outliers in
        multi-source data. It decomposes the multi-source data into
        joint, individual and residual (noise) contributions. The
        decomposition is robust to outliers and noise in the data. The
        method is illustrated in Ponzi et al (2021) <arXiv:2101.09110>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.1.0)
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), cowplot, reshape2,
        dplyr
Imports: ggplot2, doParallel, foreach
RoxygenNote: 7.1.1
Repository: https://ericaponzi.r-universe.dev
Date/Publication: 2021-01-28 12:54:39 UTC
RemoteUrl: https://github.com/ericaponzi/rajive
RemoteRef: HEAD
RemoteSha: 7d494d11029e538587ee9b27688adacf7f1f9841
NeedsCompilation: no
Packaged: 2026-10-16 06:50:23 UTC; root
Author: Erica Ponzi [aut, cre],
  Abhik Ghosh [aut]
Maintainer: Erica Ponzi <erica.ponzi@medisin.uio.no>