- models can be defined using species or reaction counts
- both dense 'rectangular' and sparse state spaces are supported
- error due to state space truncation may be tracked with an FSP-style 'sink' state
- reaction propensities may be scaled by time dependent coefficients
- common statistical results are easily obtained
CmePy was developed for Python 2.5, and depends upon the following packages:
- SciPy 0.7
- Numpy 1.2.1
- Matplotlib (required only to plot example results)
CmePy also works with Python 2.6, provided SciPy 0.7 and Numpy 1.3 are used.
Download CmePy now as a ZIP or TAR archive.
Alternatively, if you have the Git version control system installed, you may prefer to check out a copy of CmePy directly from GitHub, via:
git clone git://github.com/fcostin/cmepy.git
Once CmePy has been obtained, the package can be tested by running the test_all.py script via Python as follows:
python test_all.py
CmePy may then be installed via the setup.py script:
python setup.py install
More detailed installation tips are available via the online documentation.
See http://fcostin.github.com/cmepy/
- Reuben Fletcher-Costin ( reuben dot fletchercostin at gmail dot com )
- Markus Hegland ( markus dot hegland at anu dot edu dot au )