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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>.
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Package details |
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| 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> |
| License | GPL-2 |
| Version | 0.2 |
| Package repository | View on CRAN |
| Installation |
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