library(dsdive)
data('dive.sim')
attach(dive.sim)
attach(dive.sim$params)
# extract time between observations
tstep = diff(sim.obs$times[1:2])
# get true stage transition times
t.stages = sim$times[c(FALSE, diff(sim$stages)==1)]
# build probability matrices for observations
obstx.mat = lapply(1:3, function(s) {
dsdive.obstx.matrix(depth.bins = depth.bins, beta = dive.sim$params$beta,
lambda = lambda,
s0 = s, tstep = tstep, include.raw = TRUE, delta = 1e-10)
})
# compute likelihood of observations, given model parameters
ld = dsdive.obsld(dsobs.list = list(sim.obs,sim.obs),
t.stages.list = list(t.stages,t.stages),
P.raw = obstx.mat, s0 = 1, sf = 3)
detach(dive.sim$params)
detach(dive.sim)
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