[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-05-27 UTC."],[],["The `PriorDistributionSampler` samples from a model's prior distributions. It includes methods to compute tensors for `beta_m` and `beta_rf` via `get_roi_prior_beta_m_value` and `get_roi_prior_beta_rf_value`, respectively. The `__call__` method generates samples from the prior distributions, returning an Arviz `InferenceData` object. This method takes the number of samples (`n_draws`) and an optional seed for reproducibility as inputs.\n"]]