### Run simulations ###

> HACSObj<-HACReal()

> HAC.simrep(HACSObj) Simulating haplotype accumulation...

— ======================================================— 100%

— Measures of Sampling Closeness —

Mean number of haplotypes sampled: 65.3514

Mean number of haplotypes not sampled: 17.6486

Proportion of haplotypes sampled: 0.7873663

Proportion of haplotypes not sampled: 0.2126337

Mean value of N*: 443.2499

Mean number of specimens not sampled: 94.24988

Desired level of haplotype recovery has not yet been reached

— ============================================— 100%

—Measures of Sampling Closeness —

Mean number of haplotypes sampled: 78.3713

Mean number of haplotypes not sampled: 4.6287

Proportion of haplotypes sampled: 0.9442325

Proportion of haplotypes not sampled: 0.05576747

Mean value of N*: 802.7684

Mean number of specimens not sampled: 44.76836

Desired level of haplotype recovery has not yet been reached

— =========================================================— 100%

—Measures of Sampling Closeness —

Mean number of haplotypes sampled: 79.2147

Mean number of haplotypes not sampled: 3.7853

Proportion of haplotypes sampled: 0.954394

Proportion of haplotypes not sampled: 0.04560602

Mean value of N*: 841.3716

Mean number of specimens not sampled: 38.37161

Desired level of haplotype recovery has been reached

———- Finished. ———-

The initial guess for sampling sufficiency was N = 349 individuals

The algorithm converged after 8 iterations and took 1116.468 s

The estimate of sampling sufficiency for p = 95% haplotype recovery is N∗ = 803 individuals ( 95% CI: 801.551-804.449 )

The number of additional specimens required to be sampled for p = 95% haplotype recovery is N* - N = 454 individuals