Finds Missing Links and Metric Confidence Intervals in Ecological Bipartite Networks
Coverage Estimator, using Chao1 Index, Turing-Good or Binomial dependi...
Generates a network list from a food web
Fit all the models
Fit Matching-Centrality Model
Fit Centrality Model
Fit Latent Trait (Matching Model)
Fit SBM Model
Generates a network list from a food web and fits all network models
Estimated probabilities of missing links based on the host Level Cover...
cassandRa: Finds Missing Links and Metric Confidence Intervals in Ecol...
Compute Basic Confidence Intervals
Make an artificial bipartite networks with some properties of ecologic...
Custom optimiser function for SBM models
Optimiser wrapper for network models
Pipe operator
Plot the fitted network models
Plot Metric Response To Network Rarefaction
Recalculate Network Metrics With Rarefied Webs
Adds a dataframe that defines each interaction as true positive, false...
Test the models by AUC
Test via AUC the predictive capacity of each model or combination of m...
Provides methods to deal with under sampling in ecological bipartite networks from Terry and Lewis (2020) Ecology <doi:10.1002/ecy.3047> Includes tools to fit a variety of statistical network models and sample coverage estimators to highlight most likely missing links. Also includes simple functions to resample from observed networks to generate confidence intervals for common ecological network metrics.