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A set of Python tools for statistically analyzing correlated data. This includes aspects of lattice QCD applications related to QCD phenomenology.

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Now one can use different error boundaries for y or x errors in plot_dots and I added a beta range warning for the two afK scales where it was missing....

this can be improved as a similar manner as the jackknife

high priority

need to figure out what is going wrong with second-order cumulants

would be useful to have eventually. i have encountered a situation where this would have been useful for converting between formats

maybe a bunch of tools related to answering questions for running jobs: 1. how much storage will i need 2. how much node-h do i need 3. how does node-h...

maybe it would help with the statistics, fitting, etc routines to have a 'model' class. this class would be like a function, but the parmeters of the model would be...

may as well make these, so you can use them easily in the future. can follow the strategy of the HRG, should be relatively straightforward.

xiao-yong pointed me to a nice python implementation here: https://github.com/nftqcd/nthmc/blob/master/lib/fieldio.py

some exponents are calculated from others listed in some paper. it's useful to propagate those errors when you do that. you should code that into `statisticalPhysics`

there's a lot of of inconsistency and TODOs in it