graphics, grDevices, grid, latticeExtra, numDeriv, raster,
rasterVis (>= 0.30), sp, spaMM (>= 2.4), stats, tools, utils,
viridisLite

graphics, grDevices, grid, latticeExtra, numDeriv, raster,
rasterVis (>= 0.30), sp, spaMM (>= 2.1.3), stats, tools, utils,
viridisLite

c(
person("Alexandre", "Courtiol", email = "alexandre.courtiol@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0637-2959")),
person("François", "Rousset", role = "aut", comment = c(ORCID = "0000-0003-4670-0371")),
person("Marie-Sophie", "Rohwaeder", role = "aut"),
person("Stephanie", "Kramer-Schadt", role = "aut", comment = c(ORCID = "0000-0002-9269-4446"))
)
graphics, grDevices, grid, lattice, latticeExtra, numDeriv,
raster, rasterVis (>= 0.30), sp, spaMM (>= 2.4), stats, tools,
utils, viridisLite
Building isoscapes using mixed models and inferring the geographic
origin of samples based on their isotopic ratios. This package is essentially a
simplified interface to several other packages which implements a new
statistical framework based on mixed models. It uses 'spaMM' for fitting and
predicting isoscapes, and assigning an organism's origin depending on its
isotopic ratio. 'IsoriX' also relies heavily on the package 'rasterVis' for
plotting the maps produced with 'raster' using 'lattice'.
gmp, magick, maps, maptools, RandomFields, rgeos, rgl,
testthat
Alexandre Courtiol [aut, cre] (<https://orcid.org/0000-0003-0637-2959>),
François Rousset [aut] (<https://orcid.org/0000-0003-4670-0371>),
Marie-Sophie Rohwaeder [aut],
Stephanie Kramer-Schadt [aut] (<https://orcid.org/0000-0002-9269-4446>)

gmp, magick, maps, maptools, RandomFields, rgeos, rgdal, rgl,
testthat

elevatr, graphics, grDevices, grid, lattice, latticeExtra,
numDeriv, raster, rasterVis (>= 0.30), sp, spaMM (>= 3.13),
stats, tools, utils, viridisLite
gmp, magick, maps, maptools, rgeos, rgdal, rgl, testthat

colorspace, gmp, magick, maps, maptools, rgeos, rgdal, rgl,
testthat

Estimates diet contributions from isotopic sources using
JAGS. Includes estimation of concentration dependence and
measurement error.