hddm-devs hddm issues - Githubissues

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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Patsy

#19 twiecki closed 11 years ago
0
Failing test test_posterior_plots_breakdown

#18 twiecki closed 11 years ago
4
CHG: chg/add quantiles methods for wfpt, and fix _plot_posterior_quantil...

#17 isofer closed 11 years ago
0
ML estimation can return impossible values for sz

#16 isofer closed 11 years ago
3
REF: Use new kabuki gen_rand_data() which requires passing of function rather than pymc node.

#15 twiecki closed 11 years ago
0
test_optimization.py unittests are failing.

#14 twiecki closed 11 years ago
1
Optimization unittests are taking forever

#13 twiecki closed 12 years ago
0
Restructured file hierarchy.

#12 twiecki closed 12 years ago
0
Refactor regression model

#11 twiecki closed 12 years ago
3
Fix gsquare optimization

#10 twiecki closed 12 years ago
1
quantiles_summary() and qp_plot() are broken

#9 twiecki closed 11 years ago
2
Add documentation

#8 twiecki closed 12 years ago
0
Make hddm_demo.py parameters created dynamically.

#7 twiecki closed 11 years ago
0
Change wx backend of matplotlib wrapper to qt backend in hddm_demo.py

#6 twiecki opened 12 years ago
0
Add warning for incorrect RT and response values

#5 twiecki opened 12 years ago
1
Port docstrings to numpy format

#4 twiecki closed 11 years ago
0
Tutorial documentation

#3 michaeldhealy closed 13 years ago
0
add the ability to control the range and initial values of parameters

#2 isofer closed 13 years ago
1
simple example does not work

#1 isofer closed 13 years ago
0