spdep, rgdal, ncdf4, ncdf4.helpers, curl, methods, Rcpp (>=
0.11.0)

spdep, rgdal, ncdf4, ncdf4.helpers, curl, methods, Rcpp (>=
0.12.12)

c(
person('Miquel', 'De Cáceres', role=c('aut','cre'),
email='miquelcaceres@gmail.com'),
person('Nicolas', 'Martin', role='aut'),
person('Víctor', 'Granda', role='aut'),
person('Antoine', 'Cabon', role='aut'))
Miquel De Cáceres [aut, cre],
Nicolas Martin [aut],
Víctor Granda [aut],
Antoine Cabon [aut]

Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
spdep, rgdal, ncdf4, ncdf4.helpers, httr, jsonlite, methods,
Rcpp (>= 0.12.12)

knitr, spdep, rgdal, ncdf4, ncdf4.helpers, httr, jsonlite,
methods, Rcpp (>= 0.12.12)

spdep, rgdal, ncdf4, httr, jsonlite, methods, Rcpp (>=
0.12.12)

knitr, forecast, spacetime, stars, rmarkdown

sf, spdep, rgdal, ncdf4, httr, jsonlite, methods, meteospain,
Rcpp (>= 0.12.12), units, xml2

sf, spdep, rgdal, ncdf4, methods, meteospain, Rcpp (>=
0.12.12), units

c(
person('Miquel', 'De Cáceres', role=c('aut','cre'),
email='miquelcaceres@gmail.com', comment = c(ORCID = "0000-0001-7132-2080")),
person('Nicolas', 'Martin', role='aut', comment = c(ORCID = "0000-0001-7574-0108")),
person('Víctor', 'Granda', role='aut', comment = c(ORCID = "0000-0002-0469-1991")),
person('Antoine', 'Cabon', role='aut', comment = c(ORCID = "0000-0001-6426-1726")))

A set of functions for weather and climate data manipulation, and other helper functions, to support dynamic ecological modelling, particularly crop and crop disease modeling.
c(person("Robert J.", "Hijmans", role = c("cre", "aut"), email = "r.hijmans@gmail.com", comment = c(ORCID = "0000-0001-5872-2872")), person("Maarten", "Waterloo", role = "ctb"))
Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>),
Maarten Waterloo [ctb]

Mixture-of-Experts Modeling for Complex Non-Normal Distributions
c(person("Faicel", "Chamroukhi", role = c("aut"),
comment = c(ORCID = "0000-0002-5894-3103"),
email = "faicel.chamroukhi@unicaen.fr"),
person("Florian", "Lecocq", role = c("aut","trl","cre"), comment = "R port",
email = "florian.lecocq@outlook.com"),
person("Marius", "Bartcus", role = c("aut","trl"), comment = "R port",
email = "marius.bartcus@gmail.com"))
Provides a unified mixture-of-experts (ME) modeling and
estimation framework with several original and flexible ME models to
model, cluster and classify heterogeneous data in many complex
situations where the data are distributed according to non-normal,
possibly skewed distributions, and when they might be corrupted by
atypical observations. Mixtures-of-Experts models for complex and
non-normal distributions ('meteorits') are originally introduced and
written in 'Matlab' by Faicel Chamroukhi. The references are mainly the
following ones. The references are mainly the following ones.
Chamroukhi F., Same A., Govaert, G. and Aknin P. (2009) <doi:10.1016/j.neunet.2009.06.040>.
Chamroukhi F. (2010) <https://chamroukhi.com/FChamroukhi-PhD.pdf>.
Chamroukhi F. (2015) <arXiv:1506.06707>.
Chamroukhi F. (2015) <https://chamroukhi.com/FChamroukhi-HDR.pdf>.
Chamroukhi F. (2016) <doi:10.1109/IJCNN.2016.7727580>.
Chamroukhi F. (2016) <doi:10.1016/j.neunet.2016.03.002>.
Chamroukhi F. (2017) <doi:10.1016/j.neucom.2017.05.044>.
meteorits-package.R RcppExports.R logsumexp.R utils.R
sampleUnivNMoE.R sampleUnivSNMoE.R sampleUnivStMoE.R
sampleUnivTMoE.R ParamSNMoE.R ParamStMoE.R ParamTMoE.R
ParamNMoE.R StatSNMoE.R StatStMoE.R StatTMoE.R StatNMoE.R
ModelSNMoE.R ModelStMoE.R ModelTMoE.R ModelNMoE.R emSNMoE.R
emStMoE.R emTMoE.R emNMoE.R data-tempanomalies.R