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 , arXiv DOI .


Reference manual

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install.packages("semicontMANOVA")

0.2-1 by Elena Sabbioni, 14 days ago


Browse source code at https://github.com/cran/semicontMANOVA


Authors: Elena Sabbioni [aut, cre] (ORCID: , Claudio Agostinelli [aut] (ORCID: , Alessio Farcomeni [aut] (ORCID:


Documentation:   PDF Manual  


GPL-2 license


Imports mvtnorm


See at CRAN