cpm.hierarchical

Hierarchical estimation: fit all participants at once, and use the group distribution of the parameters as a prior for each participant.

EmpiricalBayes	Implements an Expectation-Maximisation algorithm for the optimisation of the group-level distributions of the parameters of a model from subject-level parameter estimations.
VariationalBayes	Performs hierarchical Bayesian estimation of a given model using variational (approximate) inference methods, a reduced version of the Hierarchical Bayesian Inference (HBI) algorithm proposed by Piray et al. (2019), to exclude model comparison and selection.