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) <doi:10.48550/arXiv.2401.04036>.
Version: |
0.1-8 |
Depends: |
R (≥ 2.15.1) |
Imports: |
matrixcalc, mvtnorm |
Published: |
2024-01-10 |
Author: |
Elena Sabbioni
[aut, cre],
Claudio Agostinelli
[aut],
Alessio Farcomeni
[aut] |
Maintainer: |
Elena Sabbioni <elena.sabbioni at polito.it> |
License: |
GPL-2 |
NeedsCompilation: |
no |
CRAN checks: |
semicontMANOVA results |
Documentation:
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