pred_cond_entire: Conditional prediction of species at range of sites site.

In samaperrin/JSAM: rap-around functions to help create a Joint Species Association Model through GRETA

Description

Calculates conditional likelihood of one species presences based on environmental values and presence of other species at a range of sites.

Usage

pred_cond_entire(draws, betas_shared, betas_ssv = NULL, site_matrix,
  occupancy_matrix, temp_vector, focal_species, ssv = FALSE)

Arguments

draws	A set of mcmc draws produced by the GRETA function draws.
betas_shared	Non species-specific enrivonmental parameters.
betas_ssv	Species-specific environmental parameters.
occupancy_matrix	Occupancy matrix for all species.
temp_vector	Vector of temperatures at different sites, used to determine cooccurrence matrices.
focal_species	Integer which dictates which species in the occupancy vector you want to test likelihood of.
ssv	Whether or not the model contains species specific variables.

Value

Vector of length site giving likelihoods of species presence at every site.

samaperrin/JSAM documentation built on June 16, 2020, 9:26 a.m.