Bunny is a monte carlo power analysis (MCPA) package for python. Bunny takes a theory of how you think humans will behave (called a Participant) and the analysis you plan to apply to your data (called a DataTest) and helps you understand your experiment by simulating the process of collecting and analyzing your data thousands of times. Bunny can help you determine your experiment's power, the sample size you need, or simply to understand how different tests affect your study.
Bunny is simple. Here is a complete working example showing how to calculate the power for a two-alternative forced choice task:
from Bunny import *
ChildModel = Participant(Behaviors.BernoulliAgent(0.8))
MyTest = DataTest(Tests.BinomialTest())
MyExperiment = Experiment(ChildModel, MyTest)
Hop(MyExperiment)
Bunny's main objects are Experiments, a combination of a formal theory of how you think participants will behave and a statistical procedure you plan to use on your data. If you use Bunny's libraries, you can build an Experiment in as little as three lines of code. Implementing your own is also simple. Once you have an experiment, Bunny can ...
Calculate its power, given the sample size
Inspect(Experiment)
Help you visualize the experiment's power
Imagine(Experiment)
Find the sample size you need given a power
Experiment.SetPower(0.95)
Hop(Experiment)
Or explore the relationship between sample size and power
Explore(Experiment)
To get started visit the wiki or look at the examples.
To install download the source code and on a terminal run
python setup.py install
pip uninstall Bunny
Bunny is available through an MIT license.