edahelsinki/cyclesampler: Randomization Algorithms for Large Sparse Matrices

A property-preserving Markov Chain Monte Carlo method for generating surrogate networks in which (i) edge weights are constrained to an interval and vertex weights are preserved exactly, and (ii) edge and vertex weights are both constrained to intervals.

install.packages("remotes")
remotes::install_github("edahelsinki/cyclesampler")