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semicontMANOVA (version 0.2)

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

Description

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 .

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Version

Install

install.packages('semicontMANOVA')

Monthly Downloads

110

Version

0.2

License

GPL-2

Maintainer

Elena Sabbioni

Last Published

June 11th, 2025

Functions in semicontMANOVA (0.2)

scMANOVA

Multivariate ANalysis Of VAriance Inference and Test with Ridge Regularization for Semicontinuous High-Dimensional Data
scMANOVApermTest

Multivariate ANalysis Of VAriance log-likelihood Test with Ridge Regularization for Semicontinuous High-Dimensional Data
scMANOVAestimation

Multivariate ANalysis Of VAriance Maximum Likelihood Estimation with Ridge Regularization for Semicontinuous High-Dimensional Data
scMANOVAsimulation

Simulation of datasets for a semicontinuous scenarios