hddm-devs / hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
http://ski.clps.brown.edu/hddm_docs/
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CHG: chg/add quantiles methods for wfpt, and fix _plot_posterior_quantil... #17

Closed isofer closed 11 years ago

isofer commented 11 years ago

remove Wfpt.quantiles added Wfpt.empirical_quantiles - compute the quantiles over the stochastic's value added Wfpt.theo_quantiles - compute the theoretical quantiles based on stochastic's parents

fix: _plot_posterior_quantiles used the theoretical quantiles, but it should have been generating Wfpt values, based on the trace of the parents and then compute the quantiles of the new generated values.