Author: Stephane Dray [ctb], Catherine Matias [ctb], Vincent Miele [aut, cre], Marc Ohlmann [aut], Wilfried Thuiller [ctb]

Imports: stats, igraph, rdiversity, Matrix.utils, blockmodels,

Author: Stephane Dray [ctb], Catherine Matias [ctb], Vincent Miele [aut, cre], Marc Ohlmann [aut], Giovanni Poggiato [ctb], Wilfried Thuiller [ctb]
Description: A collection of advanced tools, methods and models specifically  designed  for  analyzing different  types  of  ecological  networks - especially  antagonistic  (food  webs,  host-parasite),  mutualistic (plant-pollinator, plant-fungus, etc)  and competitive networks, as well as their variability in time and space. Statistical models are developed to describe and understand the mechanisms that determine species interactions, and to decipher the organization of these ecological networks (Ohlmann et al. (2019)  <doi:10.1111/ele.13221>, Gonzalez et al. (2020) <doi:10.1101/2020.04.02.021691>, Miele et al. (2021) submitted).

Author: Vincent Miele [aut, cre], Catherine Matias [ctb], Stephane Dray [ctb], Christophe Botella [ctb], Marc Ohlmann [aut], Giovanni Poggiato [ctb], Wilfried Thuiller [ctb]
Description: A collection of advanced tools, methods and models specifically  designed  for  analyzing different  types  of  ecological  networks - especially  antagonistic  (food  webs,  host-parasite),  mutualistic (plant-pollinator, plant-fungus, etc)  and competitive networks, as well as their variability in time and space. Statistical models are developed to describe and understand the mechanisms that determine species interactions, and to decipher the organization of these ecological networks (Ohlmann et al. (2019)  <doi:10.1111/ele.13221>, Gonzalez et al. (2020) <doi:10.1101/2020.04.02.021691>, Miele et al. (2021) submitted, Botella et al (2021) <doi:10.1111/2041-210X.13738>).

Authors@R: c(person("Vincent", "Miele", role=c("aut", "cre"), email="vincent.miele@univ-lyon1.fr"),
Description: A collection of advanced tools, methods and models specifically  designed  for  analyzing different  types  of  ecological  networks - especially  antagonistic  (food  webs,  host-parasite),  mutualistic (plant-pollinator, plant-fungus, etc)  and competitive networks, as well as their variability in time and space. Statistical models are developed to describe and understand the mechanisms that determine species interactions, and to decipher the organization of these ecological networks (Ohlmann et al. (2019)  <doi:10.1111/ele.13221>, Gonzalez et al. (2020) <doi:10.1101/2020.04.02.021691>, Miele et al. (2021) <doi:10.48550/arXiv.2103.10433>, Botella et al (2021) <doi:10.1111/2041-210X.13738>).
Imports: stats, igraph, rdiversity, blockmodels, bipartite, Rcpp