Priors¶

class
brmp.priors.
Prior
(path, prior)¶ A
Prior
instance associates a prior distribution with one or more parameters of a model. One or more such instances may be passed tobrm()
to override its default choice of priors.The parameters of the model to which a prior should be applied are specified using a path. The following examples illustrate how this works:
Path Selected Parameters ('b',)
All population level coefficients ('b', 'intercept')
The population level intercept ('b', 'x')
The population level coefficient x
('sd',)
All standard deviations in all groups ('sd', 'a')
All standard deviations in the group which groups by column a
('sd', 'a:b')
All standard deviations in the group which groups by columns a
andb
('sd', 'a', 'intercept')
The standard deviation of the intercept in the group which groups by column a
('cor',)
All correlation matrices ('cor', 'a')
The correlation matrix of the group which groups by column a
('cor', 'a:b')
The correlation matrix of the group which groups by columns a
andb
('resp', `sigma`)
The sigma
parameter of the response distributionExample:
Prior(('b', 'intercept'), Normal(0., 1.))
Parameters:  path (tuple) – A path describing one or more parameters of the model.
 prior (brmp.family.Family) – A prior distribution, given as a
Family
with all of its parameters specified.