examples/overlap.R

# fish data
data(fish)

# generate parameter draws from the "default" posteriors of each fish
nsamples <- 500
system.time({
  fish.par <- tapply(1:nrow(fish), fish$species,
                     function(ii) niw.post(nsamples = nsamples, X = fish[ii,2:4]))
})

# overlap calculation. use nsamples = nprob = 1e4 for more accurate results.
system.time({
  over <- overlap(fish.par, nreps = nsamples, nprob = nsamples,
                  alpha = c(.95, .99))
})

# posterior expectations of overlap metrics
over.mean <- apply(over*100, c(1:2, 4), mean)
round(over.mean)

# posterior 95% credible intervals of overlap metrics
over.cred <- apply(over*100, c(1:2, 4), quantile,
                   prob = c(.025, .975), na.rm = TRUE)
round(over.cred[,,,1]) # display alpha = .95 niche region
mlysy/nicheROVER documentation built on Oct. 17, 2023, 2:21 p.m.