Rcpp (>= 1.0.0), graphics, stats, coda, corrplot
knitr, raster, sp, rmarkdown, bookdown, testthat, boral
c(
person("Ghislain", "Vieilledent", role=c("aut", "cre"),
email="ghislain.vieilledent@cirad.fr",
comment=c(ORCID="0000-0002-1685-4997")),
person("Jeanne", "Clément", role=c("aut"),
email="jeanne.clement16@laposte.net",
comment=c(ORCID="0000-0002-5228-5015")),
person("CIRAD", role=c("cph", "fnd")))
Fits joint species distribution models ('jSDM')
in a hierarchical Bayesian framework (Warton et al. 2015
<doi:10.1016/j.tree.2015.09.007>). The Gibbs sampler is written
in C++. It uses 'Rcpp', 'Armadillo' and 'GSL' to maximize computation
efficiency.
Ghislain Vieilledent [aut, cre]
(<https://orcid.org/0000-0002-1685-4997>),
Jeanne Clément [aut] (<https://orcid.org/0000-0002-5228-5015>),
CIRAD [cph, fnd]

Rcpp (>= 1.0.0), graphics, stats, coda, corrplot, stringi,
MASS, parallel, doParallel, foreach
knitr, kableExtra, raster, sp, rgdal, dplyr, rmarkdown,
bookdown, testthat, boral, Hmsc, BayesComm, snow, snowfall,
ggplot2
c(
person("Jeanne", "Clément", , "jeanne.clement16@laposte.net", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-5228-5015")),
person("Ghislain", "Vieilledent", , "ghislain.vieilledent@cirad.fr", role = "aut",
comment = c(ORCID = "0000-0002-1685-4997")),
person("Frédéric", "Gosselin", , "frederic.gosselin@inrae.fr", role = "ctb",
comment = c(ORCID = "0000-0003-3737-106X")),
person("CIRAD", role = c("cph", "fnd"))
)
Jeanne Clément [aut, cre] (<https://orcid.org/0000-0002-5228-5015>),
Ghislain Vieilledent [aut] (<https://orcid.org/0000-0002-1685-4997>),
Frédéric Gosselin [ctb] (<https://orcid.org/0000-0003-3737-106X>),
CIRAD [cph, fnd]

Calculates the j-Score Between Two Clustering Assignments
c(person("Navid", "Ahmadinejad", email = "navidfr@asu.edu", role = c("cre","aut")),
person("Li", "Liu", email = "liliu@asu.edu", role = "aut"))
The jscore() function in the package calculates the J-Score metric between two clustering
assignments. The score is designed to address some problems with existing common metrics such
as problem of matching. The details of J-score is described in Ahmadinejad and Liu. (2021) <arXiv:2109.01306>.
Navid Ahmadinejad [cre, aut],
Li Liu [aut]