Imports: knitr, spdep, rgdal, ncdf4, ncdf4.helpers, httr, jsonlite,
Packaged: 2018-10-22 10:23:13 UTC; miquel.decaceres

Packaged: 2019-04-29 11:25:13 UTC; miquel.decaceres

Packaged: 2019-05-27 10:32:30 UTC; miquel.decaceres

Imports: spdep, rgdal, ncdf4, httr, jsonlite, methods, Rcpp (>=
Packaged: 2019-11-05 08:21:02 UTC; miquel.decaceres

Suggests: knitr, forecast, spacetime, stars

Suggests: knitr, forecast, spacetime, stars, rmarkdown
Packaged: 2020-08-27 07:49:00 UTC; miquel.decaceres

Imports: sf, spdep, rgdal, ncdf4, httr, jsonlite, methods, meteospain,

Imports: sf, spdep, rgdal, ncdf4, methods, meteospain, Rcpp (>=

person('Nicolas', 'Martin', role='aut', comment = c(ORCID = "0000-0001-7574-0108")),
person('Antoine', 'Cabon', role='aut', comment = c(ORCID = "0000-0001-6426-1726")))

Description: 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.
Authors@R: 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"))
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>),

Title: Mixture-of-Experts Modeling for Complex Non-Normal Distributions
person("Florian", "Lecocq", role = c("aut","trl","cre"), comment = "R port",
person("Marius", "Bartcus", role = c("aut","trl"), comment = "R port",
Description: 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>.
Imports: pracma, methods, stats, MASS, Rcpp
Collate: meteorits-package.R RcppExports.R logsumexp.R utils.R
ParamNMoE.R StatSNMoE.R StatStMoE.R StatTMoE.R StatNMoE.R
ModelSNMoE.R ModelStMoE.R ModelTMoE.R ModelNMoE.R emSNMoE.R
Packaged: 2019-10-04 11:57:08 UTC; florianlecocq