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PFWIM: Paleo Food Web Inference Model

PFWIM is an R package for inferring predator–prey interactions using trait-based rules and generating hypothetical realised food webs. It implements the Paleo Food-web Inference Model (Shaw 2024) and includes tools for categorical trait matching, numerical predator–prey size rules, and power-law downsampling of realised webs.

Installation 

# Install from CRAN (when available)
install.packages("pfwim")

# Or install development version from GitHub
# install.packages("devtools")
devtools::install_github("BecksLab/pfwim")

Load Example Data 

library(pfwim.R)

# Trait data
data("traits", package = "pfwim")

# Trait combination rules
data("feeding_rules", package = "pfwim")

head(traits)
head(feeding_rules)

Inferring a consumer–resource edgelist

Use infer_edgelist() to infer feasible interactions:

edgelist <- infer_edgelist(
  data = traits,
  cat_combo_list = feeding_rules,
  col_taxon = "species",
  certainty_req = "all",
  allow_self = FALSE
)

# Show first few interactions
head(edgelist)

Generate hypothetical realised webs

Create a series of hypothetical webs using powerlaw_prey()

webs <- powerlaw_prey(
  el = edgelist,
  n_samp = 5,
  y = 2.5
)

# Inspect first web
webs[[1]]

Each element of webs is a matrix representing a realised food web generated from the inferred interactions