Simulate salmon smolt migration and potential for acoustic detection

while focused on a specific project, this code will be generalised so detections of acoustically-tagged animals can be simulated under a variety of ecological scenarios

d <- sim_setup()
out <- sim_move(N=1200, data=d) %>% sim_detect(., data = d)
summary(out, d)
plot(out)

d <- sim_setup()
out <- data.frame(id=1:5) %>%
group_by(id) %>%
do(rep = try(sim_move(id = .$id, N=1200, data = d, mpar=list(surv=1)) %>% sim_detect(., data = d)))
class(out) <- append(class(out), "simsmolt", 0)
summary(out, d)
plot(out)

d <- sim_setup()
cls <- multidplyr::create_cluster(11)
multidplyr::cluster_library(cls, c("simsmolt", "dplyr"))
multidplyr::cluster_copy(cls, d)
out <- data.frame(id = 1:100) %>%
multidplyr::partition(id, cluster = cls) %>%
do(rep = try(sim_move(id=.$id, N=1200, data = d, mpar=list(rho=0.8), pb=FALSE) %>% sim_detect(., data = d))) %>%
collect()
class(out) <- append(class(out), "simsmolt", 0)
plot(out)
summary(out, d)