Rdpack, XML, xml2, utils, fields, urltools, rjson, rvest,
tools, methods, curl, httr, mapview, sp, stars

c(person("Antoine","Godichon-Baggioni", role = c("aut", "cre","cph"),
email = "antoine.godichon_baggioni@upmc.fr"),
person("Stéphane","Robin", role = "aut") )
Algorithms for estimating robustly the parameters of a Gaussian, Student, or Laplace Mixture Model.
Rcpp, foreach, doParallel,
mvtnorm,mclust,parallel,LaplacesDemon, genieclust, RSpectra
Antoine Godichon-Baggioni [aut, cre, cph],
Stéphane Robin [aut]

Rcpp, foreach, doParallel,
mvtnorm,mclust,parallel,LaplacesDemon, genieclust, RSpectra,
ggplot2, reshape2

c(
person("Meinhard", "Ploner", role=c("aut", "cre", "cph"), email="meinhard.ploner@gmail.com"),
person("Daimler AG", role="cph"),
person("GKN Sinter Metals GmbH", role="cph"))
Meinhard Ploner [aut, cre, cph],
Daimler AG [cph],
GKN Sinter Metals GmbH [cph]

Generates Multivariate Nonnormal Data and Determines How Many
Factors to Retain
The GenDataSample() and GenDataPopulation() functions create,
respectively, a sample or population of multivariate nonnormal data
using methods described in Ruscio and Kaczetow (2008). Both of these
functions call a FactorAnalysis() function to reproduce a correlation
matrix. The EFACompData() function allows users to determine how many
factors to retain in an exploratory factor analysis of an empirical data
set using a method described in Ruscio and Roche (2012). The latter
function uses populations of comparison data created by calling the
GenDataPopulation() function.
<DOI: 10.1080/00273170802285693>.
<DOI: 10.1037/a0025697>.

Provides the hybrid Bayesian method Geometric Density Estimation. On the one hand, it scales the dimension of our data, on the other it performs inference. The method is fully described in the paper "Scalable Geometric Density Estimation" by Y. Wang, A. Canale, D. Dunson (2016) <http://proceedings.mlr.press/v51/wang16e.pdf>.

Michael Pearmain. Contributions from Nick Mihailowski,
Vignesh Prajapati, Kushan Shah and Nicolas Remy
Provides functions for accessing and retrieving data from the
Google Analytics API