test_that("migration zero model with 1 deme", {
swf <- polySimIBD::sim_swf(pos = sort(sample(1:1e3, size = 50)),
N = 25,
m = 0,
mean_coi = 2,
migr_mat = 1,
rho = 1e-2,
tlim = 10)
adj_graph <- t(combn(x = c(1:25), m = 2)) %>%
tibble::as_tibble(., .name_repair = "minimal") %>%
magrittr::set_colnames(c("smpl1", "smpl2")) %>%
dplyr::mutate(pairwiseIBD = purrr::map2_dbl(.x = smpl1, .y = smpl2, .f = function(x, y){
polySimIBD::get_bvibd(swf = swf, host_index = c(x,y))
}))
# no migration, no co-mingling of hosts, no ibd sharing
testthat::expect_equal(unique(adj_graph$pairwiseIBD), 0)
})
test_that("migration zero model with multiple demes deme", {
migmat <- matrix(0, 2, 2)
diag(migmat) <- 1
swf <- polySimIBD::sim_swf(pos = sort(sample(1:1e3, size = 50)),
N = c(10, 10),
m = c(0, 0),
mean_coi = c(2, 2),
migr_mat = migmat,
rho = 1e-2,
tlim = 10)
adj_graph <- t(combn(x = c(1:20), m = 2)) %>%
tibble::as_tibble(., .name_repair = "minimal") %>%
magrittr::set_colnames(c("smpl1", "smpl2")) %>%
dplyr::mutate(pairwiseIBD = purrr::map2_dbl(.x = smpl1, .y = smpl2, .f = function(x, y){
polySimIBD::get_bvibd(swf = swf, host_index = c(x,y))
}))
# no migration, no co-mingling of hosts, no ibd sharing
testthat::expect_equal(unique(adj_graph$pairwiseIBD), 0)
})
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