Skip to contents

Noisy predator-prey benchmark model

Source: R/aci-model-library.R
aci_predprey_model.Rd

andreou2026aci supplementary model (SI.4.2; ACI_code noisy_predator_prey) Construct either causal partition of the stochastic Lotka-Volterra example used in andreou2026aci. The two partitions should be compared separately because the supplied MATLAB file contains sequential direction-specific blocks.

Usage

aci_predprey_model(hidden = c("prey", "predator"), params = list())

Arguments

hidden

Either "prey" or "predator", naming the hidden component.

params

Optional named list overriding alpha, beta, gamma, delta, s_x and s_y.

Value

An object of class cgns_model.

References

Andreou, M., Chen, N. and Bollt, E. (2026). Assimilative causal inference. Nature Communications 17, 1854. doi:10.1038/s41467-026-68568-0

See also

aci_dyad_model(), aci()

Examples

aci_predprey_model(hidden = "prey")
#> <cgns_model> 'predator_prey[prey hidden]': k = 1 observed, l = 1 hidden