semicontMANOVA: Multivariate ANalysis of VAriance with Ridge Regularization for Semicontinuous High-Dimensional Data

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 [aut, cre], Claudio Agostinelli [aut], Alessio Farcomeni [aut]
Maintainer:	Elena Sabbioni <elena.sabbioni at stats.ox.ac.uk>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	semicontMANOVA results

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