c(person("S. Thomas", "Kelly",email = "tom.kelly@postgrad.otago.ac.nz", role = c("ctb")),
person("S. Thomas", "Kelly",email = "tom.kelly@riken.jp", role = c("aut", "cre")),
person("Michael A.", "Black", email = "mik.black@otago.ac.nz", role = c("aut", "ths")),
person("Robrecht", "Cannoodt", role = c("ctb")),
person("Jason Cory", "Brunson", role = c("ctb")))
devtools, knitr (>= 1.5), markdown, prettydoc, R.rsp,
rmarkdown, testthat, scales, vdiffr
S. Thomas Kelly [ctb],
S. Thomas Kelly [aut, cre],
Michael A. Black [aut, ths],
Robrecht Cannoodt [ctb],
Jason Cory Brunson [ctb]

c(person("S. Thomas", "Kelly",email = "tomkellygenetics@gmail.com", role = c("aut", "cre")),
person("Michael A.", "Black", email = "mik.black@otago.ac.nz", role = c("aut", "ths")),
person("Robrecht", "Cannoodt", role = c("ctb")),
person("Jason Cory", "Brunson", role = c("ctb")))
S. Thomas Kelly [aut, cre],
Michael A. Black [aut, ths],
Robrecht Cannoodt [ctb],
Jason Cory Brunson [ctb]

gplots, igraph, mvtnorm, matrixcalc, Matrix, graphics

Graphics Routines for Scientific Research
Routines to produce and export publication-ready scientific plots and movies (e.g., used in Obreschkow et al. (2020) <doi:10.1093/mnras/staa445>). These include special color scales, projection routines, and bitmap handling routines.
magicaxis, pracma, plotrix, cubature, png, jpeg, raster, MASS,
sp, docore

Generalized Regression Analysis and Spatial Prediction for R
Anthony Lehmann (anthony.lehmann@unige.ch), Fabien Fivaz (fabien.fivaz@unine.ch), John Leathwick and Jake Overton, with contributions from many specialists from around the world
GRASP is a general method for making spatial predictions of response variables (RV) using point surveys of the RV and spatial coverages of Predictor variables (PV). Originally, GRASP was developed to analyse, model and predict vegetation distribution over New Zealand. It has been used in all sorts of applications since then. (A. Lehmann, J.R. Leathwick & J.McC. Overton, 2002. GRASP. Ecological Modelling, 157: 189-207)