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 (2024) <doi:10.48550/arXiv.2401.04036>.

Version: 0.1-8
Depends: R (≥ 2.15.1)
Imports: matrixcalc, mvtnorm
Published: 2024-01-10
Author: Elena Sabbioni ORCID iD [aut, cre], Claudio Agostinelli ORCID iD [aut], Alessio Farcomeni ORCID iD [aut]
Maintainer: Elena Sabbioni <elena.sabbioni at polito.it>
License: GPL-2
NeedsCompilation: no
CRAN checks: semicontMANOVA results

Documentation:

Reference manual: semicontMANOVA.pdf

Downloads:

Package source: semicontMANOVA_0.1-8.tar.gz
Windows binaries: r-prerel: semicontMANOVA_0.1-8.zip, r-release: semicontMANOVA_0.1-8.zip, r-oldrel: semicontMANOVA_0.1-8.zip
macOS binaries: r-prerel (arm64): semicontMANOVA_0.1-8.tgz, r-release (arm64): semicontMANOVA_0.1-8.tgz, r-oldrel (arm64): semicontMANOVA_0.1-8.tgz, r-prerel (x86_64): semicontMANOVA_0.1-8.tgz, r-release (x86_64): semicontMANOVA_0.1-8.tgz

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