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License: Apache License 2.0
Cultural transmission models in python using simuPOP, SciPy, and NumPy
License: Apache License 2.0
Use the common algorithm from Bentley, Mesoudi and Lycett
Also, some things may be done in full "sample" parallel, while other tasks like time/rate calculations, can only be done in "simulation run" parallel, since they require us to traverse all samples belonging to a simulation run.
This may also require some sharding on the database, if we start getting insert delays.
Also need to add subpopulation/demes to sampling modules
Need to do a trial and see if the resulting mongodb instance is queryable with indices, otherwise will need some kind of hadoop solution to get summary data tables.
A couple of simple functions will be sufficient, using CTPy global constants, because
this module will most likely be called via rPython in an Rmarkdown document, as part of the dissertation and in my labnotebook.
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