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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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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
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