Authors@R: c(person("Alberto", "Viglione", role=c("aut", "cre"), email="alberto.viglione@polito.it"),
The model can also be run in a semi-distributed fashion and with dual representation of soil layer.

Title: Multivariate Tests for the Vector of Means
person("Henrique", "Jose de Paula Alves", email = "jpahenrique@gmail.com", role= c("aut", "cre")),
person("Daniel", "Furtado Ferreira", email = "danielff@ufla.br", role= "aut"))
Author: Henrique Jose de Paula Alves [aut, cre],
Maintainer: Henrique Jose de Paula Alves <jpahenrique@gmail.com>
Description: This is a statistical tool that provides multivariate statistical tests that are more powerful than traditional Hotelling T2 test and LRT (likelihood ratio test) for the vector of normal mean populations with and without contamination and non-normal populations (Henrique J. P. Alves & Daniel F. Ferreira (2019) <DOI: 10.1080/03610918.2019.1693596>).

person("Ben", "Deivide de Oliveira Batista", email = "ben.deivide@gmail.com", role = "ctb"),
Description: This is a statistical tool interactive that provides multivariate statistical tests that are more powerful than traditional Hotelling T2 test and LRT (likelihood ratio test) for the vector of normal mean populations with and without contamination and non-normal populations (Henrique J. P. Alves & Daniel F. Ferreira (2019) <DOI: 10.1080/03610918.2019.1693596>).
Imports: tcltk, ggplot2, robustbase, tcltk2, tkrplot, gridExtra, stats,
base, utils, MASS, grDevices, DescToolsAddIns

Imports: tcltk, ggplot2, robustbase, tcltk2, gridExtra, stats, utils,

Title: Variable Selection for Missing Data
Author: Jiwei Zhao, Yang Yang, and Ning Yang
Description: Use a regularization likelihood method to achieve variable selection purpose, can be used with penalty lasso, smoothly clipped absolute deviations (SCAD) and minimax concave penalty (MCP).
Tuning parameter selection techniques include cross validation (CV), Bayesian information criterion (BIC) (low and high), stability of variable selection (sVS), stability of BIC (sBIC), and stability of estimation (sEST).
More details see Zhao, Jiwei, Yang Yang, and Yang Ning (2018) <arXiv:1703.06379> "Penalized pairwise pseudo likelihood for variable selection with nonignorable missing data." Statistica Sinica.