S3 and S4 functions are implemented for spatial multi-site
stochastic generation of daily time series of temperature and
precipitation. These tools make use of Vector AutoRegressive models (VARs).
The weather generator model is then saved as an object and is calibrated by
daily instrumental "Gaussianized" time series through the 'vars' package
tools. Once obtained this model, it can it can be used for weather
generations and be adapted to work with several climatic monthly time
series.

Juan Domingo Gonzalez [cre, aut],
Victor J. Yohai [aut],
Ruben H. Zamar [aut],
Ricardo Maronna [aut]
c(person("Juan Domingo", "Gonzalez", email = "juanrst@hotmail.com",
role = c("cre","aut")),
person("Victor J.", "Yohai", email = "victoryohai@gmail.com",
role = "aut"),
person("Ruben H.", "Zamar", email = "ruben@stat.ubc.ca",
role = "aut"),
person("Ricardo", "Maronna", email = "rmaronna@retina.ar",
role = "aut")
)
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
are atypical values in the sample
(see Gonzalez, Maronna, Yohai and Zamar (2021)
<arxiv:2102.06851>).
tclust, knitr, testthat (>= 2.1.0), rmarkdown

Functions for fitting, diagnosing and predicting from a
class of Markov models.

Airborne LiDAR Filtering Method Based on Multiscale Curvature
c(
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"))
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>.
Jean-Romain Roussel [aut, cre],
Evans Jeffrey S [aut],
Hudak Andrew T [aut],
Green Code LLC [cph] (Author of the mcc code under US federally funded
contract),
Jarno Elonen [cph] (Author of the included thin plate spline library),
Thomas Becker [cph] (Author of the included any_iterator library)