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

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.
A log-normal distribution with mean and variance parameters.

Inputs:

M, S, meanInRealSpace, offset

 

M
type: beast.core.parameter.RealParameter
M parameter of lognormal distribution. Equal to the mean of the log-transformed distribution.
Optional input

 

S
type: beast.core.parameter.RealParameter
S parameter of lognormal distribution. Equal to the standard deviation of the log-transformed distribution.
Optional input

 

meanInRealSpace
type: java.lang.Boolean
Whether the M parameter is in real space, or in log-transformed space. Default false = log-transformed.
Optional input. Default: false

 

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