pocoMC utilities

unified_utils.utils.poco_bounds(param_dict)

Make a bounds array to be passed to poco. This needs to indicate any hard priors.

Parameters:

param_dict (dict) – Nested dictionary for parameters of model.

Returns:

poco_bounds (array) – Array with shape (nparam, 2) containing the upper and lower bounds of the priors. For priors that don’t have hard bounds np.nan will be used.

unified_utils.utils.sample_prior(prior_list, Nsamp, random_state=None)

Sample from specified prior.

Parameters:

• prior_list (list) – List of prior distribtuions for each parameter. Each element should be a class with .rvs() method.

• Nsamp (int) – The number of samples to generate.

• random_state (int) – Random state for sample generation. Default is None.

Returns:

prior_samples (array) – Array of shape (len(prior_list), Nsamp) containing the prior samples.