Spatial Analysis of Field Trials with Splines
c(
person("Maria Xose Rodriguez-Alvarez",
email = "mxrodriguez@bcamath.org", role = c("aut", "cre")),
person("Martin Boer", role = "aut"),
person("Paul Eilers", role = "aut"),
person("Fred van Eeuwijk", role = "ctb"))
stats, grDevices, graphics, fields, plot3Drgl, spam,
data.table, methods
Analysis of field trial experiments by modelling spatial trends using two-dimensional Penalised spline (P-spline) models.
Maria Xose Rodriguez-Alvarez [aut, cre],
Martin Boer [aut],
Paul Eilers [aut],
Fred van Eeuwijk [ctb]

c(
person("Maria Xose Rodriguez-Alvarez",
email = "mxrodriguez@uvigo.es", role = c("aut", "cre")),
person("Martin Boer", role = "aut"),
person("Paul Eilers", role = "aut"),
person("Fred van Eeuwijk", role = "ctb"))

stats, grDevices, graphics, fields, spam, data.table, methods

stats, grDevices, graphics, fields, plot3Drgl, spam,
data.table

person("Yun", "Cai", email = "Yun.Cai@dal.ca", role = c("aut", "cre"))
Non-negative Matrix Factorization(NMF) is a powerful tool for identifying the key features of microbial communities and a dimension-reduction method. When we are interested in the differences between the structures of two groups of communities, supervised NMF(Yun Cai, Hong Gu and Tobby Kenney (2017),<doi:10.1186/s40168-017-0323-1>) provides a better way to do this, while retaining all the advantages of NMF -- such as interpretability, and being based on a simple biological intuition.

c(
person("Yun","Cai",email="Yun.Cai@dal.ca",role= c("aut","cre")),
person("Hong","Gu",email="hgu@dal.ca",role="aut"),
person("Toby","Kenney",email="tkenney@mathstat.dal.ca",role="aut"))
Yun Cai [aut, cre],
Hong Gu [aut],
Toby Kenney [aut]

Linear Network Preprocessing for Spatial Statistics
Launches a Shiny application that allows users to carry out some of the steps that are required to curate both a linear network object based on a road structure and a point pattern that lies on such a network, becoming two previous steps to the performance of a spatial statistics analysis.
spatstat, leaflet, shiny, sp, raster, maptools