BEAST v2.6.7 Documentation: beast.math.distributions.Poisson

BEASTObject that performs calculations based on the State.
A class that describes a parametric distribution, that is, a distribution that takes some parameters/valuables as inputs and can produce (cumulative) densities and inverse cumulative densities.
Poisson distribution, used as prior f(k; lambda)=\frac{lambda^k e^{-lambda}}{k!} If the input x is a multidimensional parameter, each of the dimensions is considered as a separate independent component.


lambda, offset


type: beast.core.parameter.RealParameter
rate parameter, defaults to 1
Optional input


type: java.lang.Double
offset of origin (defaults to 0)
Optional input. Default: 0.0