Package: semicontMANOVA 0.1-8

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 (2024) <arxiv:2401.04036>.

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

semicontMANOVA_0.1-8.tar.gz
semicontMANOVA_0.1-8.tar.gz(r-4.5-noble)semicontMANOVA_0.1-8.tar.gz(r-4.4-noble)
semicontMANOVA_0.1-8.tgz(r-4.4-emscripten)semicontMANOVA_0.1-8.tgz(r-4.3-emscripten)
semicontMANOVA.pdf |semicontMANOVA.html
semicontMANOVA/json (API)

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

Peer review:

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

4 exports 0.00 score 2 dependencies 137 downloads

Last updated 8 months agofrom:e35bc74c49. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-linuxOKSep 07 2024

Exports:scMANOVAscMANOVAestimationscMANOVApermTestscMANOVAsimulation

Dependencies:matrixcalcmvtnorm