Simulate species distributions
simulate_SDM(
env = 5L,
sites = 100L,
species = 5L,
correlation = TRUE,
weight_range = c(-1, 1),
link = "probit",
response = "pa",
sparse = NULL,
tolerance = 0.05,
iter = 20L,
seed = NULL
)List of simulation results:
Number of environmental covariates
Number of species
Number of sites
Which link
Which response type
Species occurrence matrix
Species covariance matrix
Species-environment coefficients
Environmental covariates
Method to calculate sign accurracy
number of environment variables
number of sites
number of species
correlated species TRUE or FALSE, can be also a function or a matrix
sample true weights from uniform range, default -1,1
probit, logit or identical
pa (presence-absence) or count
sparse rate
tolerance for sparsity check
tries until sparse rate is achieved
random seed. Default = 42
Maximilian Pichler
Probit is not possible for abundance response (response = 'count')