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semicontMANOVA  

Multivariate ANalysis of VAriance with Ridge Regularization for Semicontinuous High-Dimensional Data
View on CRAN: Click here


Download and install semicontMANOVA package within the R console
Install from CRAN:
install.packages("semicontMANOVA")

Install from Github:
library("remotes")
install_github("cran/semicontMANOVA")

Install by package version:
library("remotes")
install_version("semicontMANOVA", "0.1-8")



Attach the package and use:
library("semicontMANOVA")
Maintained by
Elena Sabbioni
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-10
Latest Update: 2024-01-10
Description:
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) .
How to cite:
Elena Sabbioni (2024). semicontMANOVA: Multivariate ANalysis of VAriance with Ridge Regularization for Semicontinuous High-Dimensional Data. R package version 0.1-8, https://cran.r-project.org/web/packages/semicontMANOVA. Accessed 18 Feb. 2025.
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Complete documentation for semicontMANOVA
Functions, R codes and Examples using the semicontMANOVA R package
Some associated functions: scMANOVA . scMANOVAestimation . scMANOVApermTest . scMANOVAsimulation . 
Some associated R codes: df.R . my.dmvnorm.R . scMANOVA.R . scMANOVA_H1.R . scMANOVAestimation.R . scMANOVAloglik.R . scMANOVApermTest.R . simulation.R . wilksTest.R .  Full semicontMANOVA package functions and examples
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