Nothing

```
context("simulations")
test_that("finite chromosome", {
num_markers <- 100 #chromosome size
pop_size <- 100 # population size
H_0 <- 0.5 # nolint
C <- 1 # nolint
max_time <- 500
number_replicates <- 30
v <- c()
for (r in 1:number_replicates) {
v2 <- sim_fin_chrom(pop_size, H_0, max_time, C, r, num_markers)
v <- rbind(v, as.numeric(v2$avgJunctions) ) # nolint
}
v <- colMeans(v)
predicted <- number_of_junctions(N = pop_size, R = num_markers,
H_0 = H_0, C = C,
0:max_time)
t_sample <- sample(1:max_time, size = 10)
for (i in t_sample) {
testthat::expect_equal(v[i], predicted[i], tolerance = 1)
}
})
test_that("infinite chromosome", {
pop_size <- 50 #population size
H_0 <- 0.5 # nolint
C <- 1 # nolint
max_time <- 500
number_replicates <- 30
v <- c()
for (r in 1:number_replicates) {
v2 <- sim_inf_chrom(pop_size, H_0, max_time, C, -1, r)
v <- rbind(v, as.numeric(v2$avgJunctions) ) # nolint
}
v <- colMeans(v)
predicted <- number_of_junctions(N = pop_size, R = Inf,
H_0 = H_0, C = C,
0:max_time)
t_sample <- sample(1:max_time, size = 10)
for (i in t_sample) {
testthat::expect_equal(v[i], predicted[i], tolerance = 1)
}
#with 100 markers
v <- sim_inf_chrom(pop_size, H_0, max_time, C, 100, r) # nolint
#with C = 20 to test Poisson > 17 code
v <- sim_inf_chrom(10, H_0, 10, 20, -1, 42) # nolint
#with extremely low C, to test Poisson < 1e-6 code
v <- sim_inf_chrom(100, H_0, 100, 1e-7, -1, 42) # nolint
})
```

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