simnetfromtap: Simulates a network from parameters, abundances, traits and...
In tapnet: Trait Matching and Abundance for Predicting Bipartite Networks

The workhorse function of this package, called by various other functions to construct a bipartite interaction network

simnetfromtap(
  traits,
  abuns,
  paramsList,
  pems,
  tmatch_type_pem,
  tmatch_type_obs
)

`traits`	a named ("low"/"high") list of species-named trait data matrices for lower and higher trophic level;
`abuns`	a named ("low"/"high") list of species-named abundance vectors for lower and higher trophic level;
`paramsList`	a list of parameter values with six elements: [[1]] and [[2]]: two vectors of linear combination parameters (importance values, one vector for each trophic level); [[3]]: a single shift parameter added to linear combination of higher trophic level PEMs; [[4]]: a single trait matching parameter for the PEMs; [[5]]: a vector of trait matching parameters for observed traits; [[6]]: a non-negative scalar delta to weight the importance of abundances
`pems`	a named ("low"/"high") list of two species-named data frames (PEMs of lower and higher trophic level);
`tmatch_type_pem`	type of trait matching function for latent traits (any name accepted by `tmatch`, currently "normal" and "shiftlnorm");
`tmatch_type_obs`	type of trait matching function for observed traits (see previous argument).