Homepage on GitHub: https://github.com/thongphamthe/PAFit
We give a Markov chain Monte Carlo method to estimate preferential attachment function in a growing network without growth information. Conventional methods require the complete information about the appearance order of all nodes and edges in the network. This package incorporates the appearance order into the state space and estimates it together with the preferential attachment function. The package is implemented mainly in C++ with OpenMP.