Imports: scatterplot3d, graphics, igraph, Matrix, stats
Author: Joseph Richards [aut] (joeyrichar),
Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>,

Authors@R: person("Simon", "Dirmeier", email = "simon.dirmeier@gmx.de", role = c("aut", "cre"))
Description: Implementation of network diffusion algorithms such as insulated
heat propagation or Markov random walks. Network diffusion algorithms generally
spread information in the form of node weights along the edges of a graph to other nodes.
These weights can for example be interpreted as temperature, an initial amount
of water, the activation of neurons in the brain, or the location of a random
surfer in the internet. The information (node weights) is iteratively propagated
to other nodes until a equilibrium state or stop criterion occurs.
Suggests: knitr, rmarkdown, testthat, lintr, igraph

Suggests: knitr, rmarkdown, testthat, lintr

Description: Implementation of network diffusion algorithms such as
heat diffusion or Markov random walks. Network diffusion algorithms generally

Suggests: knitr, rmarkdown, testthat, lintr, Matrix

person("Tiago", "Monteiro-Henriques", , "tmh.dev@icloud.com", role = c("aut", "cre"),
person("Jorge Orestes", "Cerdeira", role = "aut",
person("Fundação para a Ciência e a Tecnologia, Portugal", role = "fnd",
Description: Find, visualize and explore patterns of differential taxa
in vegetation data (namely in a phytosociological table), using the
Differential Value (DiffVal). Patterns are searched through
mathematical optimization algorithms. Ultimately, Total Differential Value
(TDV) optimization aims at obtaining classifications of vegetation data
based on differential taxa, as in the traditional geobotanical approach.
The Gurobi optimizer, as well as the R package 'gurobi', can be
The useful vignette Gurobi Installation Guide, from package
Author: Tiago Monteiro-Henriques [aut, cre]
Jorge Orestes Cerdeira [aut] (<https://orcid.org/0000-0002-3814-7660>),
Fundação para a Ciência e a Tecnologia, Portugal [fnd]