Package: semicontMANOVA 0.2

Elena Sabbioni

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>.

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

semicontMANOVA_0.2.tar.gz
semicontMANOVA_0.2.tar.gz(r-4.7-any)semicontMANOVA_0.2.tar.gz(r-4.6-any)
semicontMANOVA_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
semicontMANOVA/json (API)

# Install 'semicontMANOVA' in R:
install.packages('semicontMANOVA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 180 downloads 4 exports 2 dependencies

Last updated from:c656b75588. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK163
linux-release-x86_64OK100
wasm-releaseOK92

Exports:scMANOVAscMANOVAestimationscMANOVApermTestscMANOVAsimulation

Dependencies:matrixcalcmvtnorm