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graph kernel Stein statistics for goodness-of-fit tests on Exponential Random Graph Models (ERGM)

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gkss

graph kernel Stein statistics for goodness-of-fit tests on Exponential Random Graph Models (ERGM)

the code is in R

pre-installed R librray required:

"ergm"; "network"; "igraph"; "graphkernels"; "MASS"

This repo includes:

Base_fun.R: contains functions for computing kernels, performing tests, and related

demo.R: a demo code on how to implement the tests and use functions from Base_fun.R

exp_realdata: guide code to implement real data networks.

108_senmatrix.txt and senate.csv: data made for co-sponsorship network example.

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graph kernel Stein statistics for goodness-of-fit tests on Exponential Random Graph Models (ERGM)

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