Prior

Prior(name, auto_scale=True, dist=None, **kwargs)

Abstract specification of a term prior

Parameters

Name	Type	Description	Default
name	str	Name of prior distribution. Must be the name of a PyMC distribution (e.g., "Normal", "Bernoulli", etc.)	required
auto_scale	bool	Whether to adjust the parameters of the prior or use them as passed. Default to True.	True
dist	pymc.Distribution or callable or None	A callable that returns a valid PyMC distribution. The signature must contain name, dims, and shape, as well as its own keyworded arguments.	None
kwargs	dict	Optional keywords specifying the parameters of the named distribution.	{}

Methods

Name	Description
update	Update the arguments of the prior with additional arguments

update

Prior.update(**kwargs)

Update the arguments of the prior with additional arguments

Parameters

Name	Type	Description	Default
kwargs	dict	Optional keyword arguments to add to prior args.	{}