This calculates Tajima's D from the simulation results when added to a model.
Usage
sumstat_tajimas_d(name = "tajimas_d", population = "all",
transformation = identity)
Arguments
name
The name of the summary statistic. When simulating a model,
the value of the statistics are written to an entry of the returned list
with this name. Summary statistic names must be unique in a model.
population
The population for which the statistic is calculated.
transformation
An optional function for transforming the results
of the statistic. If specified, the results of the transformation are
returned instead of the original values.
Value
On simulation, this returns a vector with the value of Tajima's D for
each locus.
Details
Tajima's D was introduced by
Tajima, F. (1989). "Statistical method for testing the neutral mutation
hypothesis by DNA polymorphism.". Genetics 123 (3): 585-95.