Multivariate ANalysis of VAriance with Ridge Regularization for Semicontinuous High-Dimensional Data R package semicontMANOVA version 0.2 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>. Software Depends: R (>= 2.15.1) Imports: matrixcalc, mvtnorm Elena Sabbioni <elena.sabbioni@stats.ox.ac.uk> Comprehensive R Archive Network (CRAN) 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>) GPL-2 2025-06-11 application/tgz https://CRAN.R-project.org/package=semicontMANOVA doi:10.32614/CRAN.package.semicontMANOVA