MultiChIPmixHMM, an R package for ChIP-chip data analysis
modeling spatial dependencies and multiple replicates.

Multivariate Multiscale Framework for Independence Tests
Test for independence of two random vectors, learn and report the dependency structure. For more information, see Gorsky and Ma (2018) <arXiv:1806.06777>.

Multiscale Fisher's Independence Test for Multivariate
Dependence

Test for independence of two random vectors, learn and report the dependency structure. For more information, see Gorsky, Shai and Li Ma, Multiscale Fisher's Independence Test for Multivariate Dependence, Biometrika, accepted, January 2022.

Uses a transformed, rotated and optionally adapted n-dimensional grid of quadrature
points to calculate the numerical integral of n multivariate normal
distributed parameters.

c(person("Karel", "Kroeze", email = "k.a.kroeze@utwente.nl", role = c("aut", "cre")),
person("Rivka", "de Vries", email = "r.m.de.vries@umcg.nl", role = "ctb"),
person("Alwin", "Stegeman", email = "a.w.stegeman@rug.nl", role = "ctb"))
Uses a transformed, rotated and optionally adapted n-dimensional
grid of quadrature points to calculate the numerical integral of n multivariate
normal distributed parameters.
Karel Kroeze [aut, cre],
Rivka de Vries [ctb],
Alwin Stegeman [ctb]

Variable Selection in Sparse Multivariate GLARMA Models
Performs variable selection in high-dimensional sparse GLARMA models. For further details we refer the reader to the paper Gomtsyan et al. (2022), <arXiv:2208.14721>.

MultiGroup Method and Simulation Data Analysis
c(person("Carolina", "Millap/'an", email = "cayoya19@gmail.com",
role = c("aut", "cre")),
person("Esteban", "Vegas", email = "evegas@ub.edu",
role = "aut", comment = c(ORCID = "0000-0002-6869-4075")),
person("Ferran", "Reverter", email = "freverter@ub.edu",
role = "aut", comment = c(ORCID = "0000-0002-9489-3350")))
Two method new of multigroup and simulation of data.
The first technique called multigroup PCA (mgPCA) this multivariate exploration approach
that has the idea of considering the structure of groups and / or different types
of variables. On the other hand, the second multivariate technique called Multigroup Dimensionality
Reduction (MDR) it is another multivariate exploration method that is based on
projections. In addition, a method called Single Dimension Exploration (SDE) was
incorporated for to analyze the exploration of the data. It could help us in a better
way to observe the behavior of the multigroup data with certain variables of interest.
mvtnorm, rlist, expm, stats, ggplot2, gridExtra, cowplot,
plsgenomics, gplots, ggrepel, qgraph, mgm
Carolina Millap/'an [aut, cre],
Esteban Vegas [aut] (<https://orcid.org/0000-0002-6869-4075>),
Ferran Reverter [aut] (<https://orcid.org/0000-0002-9489-3350>)