Description Usage Arguments Details Value Examples
Perform a maximum-likelihood analysis of a sample of genes in a subdivided population.
1 | maximum.likelihood(sample,alpha,M,pi,graphics,true.M,true.pi)
|
sample |
an object generated by the |
alpha |
the alpha-level, which takes the default value alpha = 0.05 |
M |
the support for M |
pi |
the support for pi |
graphics |
a logical variable, which is TRUE if the user wants graphics to be plotted |
true.M |
true (simulated) value of M |
true.pi |
true (simulated) value of pi |
Once the sim.inference.model
or by the sim.coalescent
command lines have been executed, maximum.likelihood
can be used to compute the maximum likelihood analysis of the sample of genes.
a ‘sample’ object
1 2 3 4 5 6 7 8 9 10 | ## This is to simulate a sample of genes (at a single locus), using the inference model, with
## 50 genes collected in each of 10 sampled demes. In this example, the product of
## twice the effective population size and migration rate is 2,
## and the frequency of allele A in the migrant pool is 0.5
sample <- sim.inference.model(number.of.sampled.demes = 10,sample.sizes = 50,M = 2,pi = 0.5)
## This is to compute Nei's unbiased heterozygosity for that sample
maximum.likelihood(sample)
|
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