Prior

Overview:

• Prior

class epipi.Prior(parameters)

The abstract class for prior

Parameters:

parametersany

The parameters of the prior distribution

class epipi.NormalPrior(mu, sigma)

A class for normal prior, can generate the corresponding normal prior string for the stan model

Parameters:

mufloat

The mean of the normal distribution

sigmafloat

The standard deviation of the normal distribution

string()

This is to output the normal prior string for the stan model

class epipi.UniformPrior(lower, upper)

A class for uniform prior, can generate the corresponding normal prior string for the stan model

Parameters:

lowerfloat

The lower bound of the uniform distribution

upperfloat

The upper bound of the uniform distribution

string()

This is to output the normal prior string for the stan model