Title: Multi-Site Auto-Regressive Weather GENerator

Author: Juan Domingo Gonzalez [cre, aut],
Authors@R: c(person("Juan Domingo", "Gonzalez", email = "juanrst@hotmail.com",
person("Victor J.", "Yohai", email = "victoryohai@gmail.com",
person("Ruben H.", "Zamar", email = "ruben@stat.ubc.ca",
person("Ricardo", "Maronna", email = "rmaronna@retina.ar",
Maintainer: Juan Domingo Gonzalez <juanrst@hotmail.com>
Description: A robust clustering algorithm (Model-Based) similar to Expectation
Maximization for finite mixture normal distributions is implemented,
its main advantage is that the estimator is resistant to outliers,
that means that results of parameter estimation are still correct when there
(see Gonzalez, Maronna, Yohai and Zamar (2021)
Suggests: tclust, knitr, testthat (>= 2.1.0), rmarkdown

Title: Functions for fitting Markov models
Description: Functions for fitting, diagnosing and predicting from a

Title: Airborne LiDAR Filtering Method Based on Multiscale Curvature
person("Jean-Romain", "Roussel", email = "jean-romain.roussel.1@ulaval.ca", role = c("aut", "cre")),
person("Evans", "Jeffrey S", email = "", role = c("aut")),
person("Hudak", "Andrew T", email = "", role = c("aut")),
person("Green Code LLC", email = "", role = c("cph"), comment = "Author of the mcc code under US federally funded contract"),
person("Jarno", "Elonen", email = "", role = c("cph"), comment = "Author of the included thin plate spline library"),
person("Thomas", "Becker", email = "", role = c("cph"), comment = "Author of the included any_iterator library"))
Description: Multiscale Curvature Classification of ground returns in 3-D LiDAR
point clouds, designed for forested environments. 'RMCC' is a porting to R of the
'MCC-lidar' method by Evans and Hudak (2007) <doi:10.1109/TGRS.2006.890412>.
Green Code LLC [cph] (Author of the mcc code under US federally funded
Jarno Elonen [cph] (Author of the included thin plate spline library),
Thomas Becker [cph] (Author of the included any_iterator library)

Author: Pedro Albuquerque and Gustavo Monteiro
Description: Provides a methodology to solve most of multicriteria ranking problems using partial and total pre-order from Promethee methods. Albuquerque & Montenegro (2015) <doi:10.1080/03610926.2014.942432>.
Imports: Rcpp, RcppNumerical, linprog, lpSolve, ggplot2, gridExtra,
ggnetwork, network, pastecs, methods, graphics, stats, utils,