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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2 |
rolling linux/jammy R-4.5 | semicontMANOVA_0.2.tar.gz |
77.2 KiB |
0.2 |
rolling linux/noble R-4.5 | semicontMANOVA_0.2.tar.gz |
77.0 KiB |
0.2 |
rolling source/ R- | semicontMANOVA_0.2.tar.gz |
11.4 KiB |
0.2 |
latest linux/jammy R-4.5 | semicontMANOVA_0.2.tar.gz |
77.2 KiB |
0.2 |
latest linux/noble R-4.5 | semicontMANOVA_0.2.tar.gz |
77.0 KiB |
0.2 |
latest source/ R- | semicontMANOVA_0.2.tar.gz |
11.4 KiB |
0.2 |
2026-04-26 source/ R- | semicontMANOVA_0.2.tar.gz |
11.4 KiB |
0.2 |
2026-04-23 source/ R- | semicontMANOVA_0.2.tar.gz |
11.4 KiB |
0.2 |
2026-04-09 windows/windows R-4.5 | semicontMANOVA_0.2.zip |
79.9 KiB |
0.1-8 |
2025-04-20 source/ R- | semicontMANOVA_0.1-8.tar.gz |
11.5 KiB |