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ntamas / plfit

Fitting power-law distributions to empirical data, according to the method of Clauset, Shalizi and Newman
GNU General Public License v2.0
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Documentation #3

Closed jeffalstott closed 13 years ago

jeffalstott commented 13 years ago

Looks like a great resource! Is there a short readme file illustrating how to build and use this? I'm particularly interested in setting it up as a Python module. Cheers!

ntamas commented 13 years ago

I'll add a short README file tomorrow. What platform are you using?

jeffalstott commented 13 years ago

Thanks! I'd be using two Linux clusters that I don't have root privileges for. Neither cluster has Cmake installed, but if it's neeed (and it seems like it is) I could try to build it myself on them.

ntamas commented 13 years ago

cmake basically generates a makefile but I don't know how independent the generated makefile is from CMake itself. In the worst case, you can build the app on another machine with CMake installed and then just copy it to the target machines.

ntamas commented 13 years ago

Added a README file to the repository which explains how to compile plfit with or without CMake. Hope this helps. The Python interface is not tested very thoroughly (I only verified that plfit_discrete and plfit_continuous works with some test data), so raise an issue here if you run into problems.

jeffalstott commented 13 years ago

Beautiful! Cheers!