BEAST v2.5.0 Documentation: beast.math.distributions.Normal

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.
Normal distribution. f(x) = frac{1}{\sqrt{2\pi\sigma^2}} e^{ -\frac{(x-\mu)^2}{2\sigma^2} } If the input x is a multidimensional parameter, each of the dimensions is considered as a separate independent component.

Inputs:

mean, sigma, tau, offset

 

mean
type: beast.core.parameter.RealParameter
mean of the normal distribution, defaults to 0
Optional input

 

sigma
type: beast.core.parameter.RealParameter
standard deviation of the normal distribution, defaults to 1
Either this, or tau needs to be specified

 

tau
type: beast.core.parameter.RealParameter
precission of the normal distribution, defaults to 1
Either this, or sigma needs to be specified

 

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