Title: Multivariate ANalysis of VAriance with Ridge Regularization for
        Semicontinuous High-Dimensional Data
LazyLoad: yes
Package: semicontMANOVA
Version: 0.2-1
Authors@R: c(person(given="Elena", family="Sabbioni", email="elena.sabbioni@stats.ox.ac.uk", role=c("aut", "cre"), comment = c(ORCID = "0000-0002-8099-1216")),
  person(given="Claudio", family="Agostinelli", email="claudio.agostinelli@unitn.it", role="aut", comment = c(ORCID = "0000-0001-6702-4312")),
  person(given="Alessio", family="Farcomeni", email="Alessio.Farcomeni@uniroma2.it", role="aut", comment = c(ORCID = "0000-0002-7104-5826")))
Depends: R (>= 2.15.1)
Imports: mvtnorm
Date: 2026-09-23
Description: Implements Multivariate ANalysis Of VAriance (MANOVA)
        parameters' inference and test with regularization for
        semicontinuous high-dimensional data. The method can be applied
        also in presence of low-dimensional data. The p-value can be
        obtained through asymptotic distribution or using a permutation
        procedure. The package gives also the possibility to simulate
        this type of data. Method is described in Elena Sabbioni,
        Claudio Agostinelli and Alessio Farcomeni (2025) A regularized
        MANOVA test for semicontinuous high-dimensional data.
        Biometrical Journal, 67:e70054. DOI <doi:10.1002/bimj.70054>,
        arXiv DOI <doi:10.48550/arXiv.2401.04036>.
License: GPL-2
NeedsCompilation: no
Packaged: 2026-09-27 18:47:54 UTC; root
Author: Elena Sabbioni [aut, cre] (ORCID:
        <https://orcid.org/0000-0002-8099-1216>), Claudio Agostinelli
        [aut] (ORCID: <https://orcid.org/0000-0001-6702-4312>), Alessio
        Farcomeni [aut] (ORCID:
        <https://orcid.org/0000-0002-7104-5826>)
Maintainer: Elena Sabbioni <elena.sabbioni@stats.ox.ac.uk>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-27 09:10:02 UTC
RemoteUrl: https://github.com/cran/semicontMANOVA
RemoteRef: HEAD
RemoteSha: 67cc8c9af51eca577492fd796ffb928fdfbadd99