Authors@R: 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"))
Description: Uses a transformed, rotated and optionally adapted n-dimensional
grid of quadrature points to calculate the numerical integral of n multivariate

Title: Variable Selection in Sparse Multivariate GLARMA Models
Description: 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>.

Title: MultiGroup Method and Simulation Data Analysis
Authors@R: c(person("Carolina", "Millap/'an", email = "cayoya19@gmail.com",
person("Esteban", "Vegas", email = "evegas@ub.edu",
person("Ferran", "Reverter", email = "freverter@ub.edu",
Description: 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.
Imports: mvtnorm, rlist, expm, stats, ggplot2, gridExtra, cowplot,
plsgenomics, gplots, ggrepel, qgraph, mgm

Title: Multi Horizon Superior Predictive Ability
Authors@R: c(person("Luca", "Barbaglia", email = "luc.barbaglia@gmail.com", role = c("cre", "aut")))
Description: Run the Multi Horizon Superior Predictive Ability test to compare the predictive performance of two distinct models when jointly considering all horizons of a forecast path.

Title: Enables Efficient Joining of Data File on Common Fields using
Depends: R (>= 2.10), graphics, stats, utils
Author: "Markus Loecher, Berlin School of Economics and Law (BSEL)" <markus.loecher@gmail.com>
Description: Wrapper around the Unix join facility which is more efficient than the built-in R routine merge().
The package enables the joining of multiple files on disk at once.
The files can be compressed and various filters can be deployed before joining.