Randomly generate a wide range of interaction networks with
specified size, average degree, 'modularity', and topological
structure. Sample nodes and links from within simulated networks
randomly, by degree, by module, or by abundance. Simulations
and sampling routines are implemented in 'FORTRAN', providing
efficient generation times even for large networks. Basic
visualization methods also included. Algorithms implemented
here are described in de Aguiar et al. (2017) <arXiv:1708.01242>.

Randomly generate a wide range of interaction networks with
specified size, average degree, modularity, and topological
structure. Sample nodes and links from within simulated networks
randomly, by degree, by module, or by abundance. Simulations
and sampling routines are implemented in 'FORTRAN', providing
efficient generation times even for large networks. Basic
visualization methods also included. Algorithms implemented
here are described in de Aguiar et al. (2017) <arXiv:1708.01242>.

c(person("Nick", "Gotelli", role = c("aut"),
email = "ngotelli@uvm.edu"),
person("Edmund", "Hart", role = c("aut","cre"),
email = "edmund.m.hart@gmail.com"),
person("Aaron", "Ellison", role = c("aut"),
email = "aellison@fas.harvard.edu") )
Given a site by species interaction matrix, users can make inferences about species interactions by performance hypothesis comparing test statistics against a null distribution. The current package provides algorithms and metrics for niche-overlap, body size ratios and species co-occurrence. Users can also integrate their own algorithms and metrics within these frameworks or completely novel null models. Detailed explanations about the underlying assumptions of null model analysis in ecology can be found at http://ecosimr.org.
Nick Gotelli [aut],
Edmund Hart [aut, cre],
Aaron Ellison [aut]

EcoTroph is an approach and software for modelling marine
and freshwater ecosystems. It is articulated entirely around
trophic levels. EcoTroph's key displays are bivariate plots,
with trophic level as the abscissa, and biomass flows or
related quantities as ordinate. Thus, trophic ecosystem
functioning can be modelled as a continuous flow of biomass
surging up the food web, from lower to higher trophic levels,
because of predation and ontogenic processes. Such an approach,
wherein species as such disappear, may be regarded as
constituting the ultimate stage in the use of the trophic level
metric for ecosystem modelling, providing a simplified but
potentially useful caricature of ecosystem functioning and
impact of fishing.