Package: semicontMANOVA 0.2-1
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:
semicontMANOVA_0.2-1.tar.gz
semicontMANOVA_0.2-1.zip(r-4.7-any)semicontMANOVA_0.2-1.zip(r-4.6-any)
semicontMANOVA_0.2-1.tar.gz(r-4.7-any)semicontMANOVA_0.2-1.tar.gz(r-4.6-any)
semicontMANOVA_0.2-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:67cc8c9af5. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 108 | ||
| source / vignettes | OK | 211 | ||
| linux-release | OK | 113 | ||
| windows-devel | OK | 67 | ||
| windows-release | OK | 68 | ||
| wasm-release | OK | 124 |
Exports:scMANOVAscMANOVAestimationscMANOVApermTestscMANOVAsimulation
Dependencies:mvtnorm
