UniformPrior

class UniformPrior

Enacts a prior expectation that the generation of the most recent common ancestor (MRCA) is equally likely to occur at any generation since genesis.

See Also

GeometricPrior: An exact, discrete analog of this prior.

__init__()

Methods

CalcIntervalConditionedMean(begin_rank: int, end_rank: int) → float[source]

Calculate the centriod of prior probability mass within an interval of possible MRCA generations.

Parameters

begin_rankint: The starting rank of the interval, inclusive.
end_rankint: The ending rank of the interval, exclusive.

Returns

float: The prior expected generation of MRCA conditioned on the assumption that the MRCA falls within the given interval.

CalcIntervalProbabilityProxy(begin_rank: int, end_rank: int) → float[source]

Characterize the prior probability of the MRCA generation falling within an interval range.

Parameters

begin_rankint: The starting rank of the interval, inclusive.
end_rankint: The ending rank of the interval, exclusive.

Returns

float: The proxy statistic, proportional to the true estimated interval probability of the MRCA value by a fixed (but unspecified) constant proportion.

SampleIntervalConditionedValue(begin_rank: int, end_rank: int) → int[source]

Sample a generation of the MRCA conditioned on the assumption that the MRCA falls within the given interval.

Parameters

begin_rankint: The starting rank of the interval, inclusive.
end_rankint: The ending rank of the interval, exclusive.

Returns

int: A sampled generation of the MRCA, conditioned on the assumption that the MRCA falls within the given interval.