doi:10.1002/bimj.70054>, arXiv DOI <doi:10.48550/arXiv.2401.04036>.">

semicontMANOVA: Multivariate ANalysis of VAriance with Ridge Regularization for Semicontinuous High-Dimensional Data (original) (raw)

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>.

Version: 0.2
Depends: R (≥ 2.15.1)
Imports: matrixcalc, mvtnorm
Published: 2025-06-11
DOI: 10.32614/CRAN.package.semicontMANOVA
Author: Elena Sabbioni ORCID iD [aut, cre], Claudio AgostinelliORCID iD [aut], Alessio Farcomeni ORCID iD [aut]
Maintainer: Elena Sabbioni <elena.sabbioni at stats.ox.ac.uk>
License: GPL-2
NeedsCompilation: no
CRAN checks: semicontMANOVA results

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