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rnglib

Tools for analyzing human-generated random number sequences

features

  • implementation of various established indices to describe human random generation behaviour
    • redundancy, coupon score, repetition gap, evans' rng score
    • turning point index, adjacency score, runs, counting score
    • phi scores
  • damerau-levenshtein pattern matching
    • prediction of random sequences
    • random number generation based identification

please cite Schulz M-A, Schmalbach B, Brugger P, Witt K (2012) Analysing Humanly Generated Random Number Sequences: A Pattern-Based Approach. PLoS ONE 7(7): e41531. doi:10.1371/journal.pone.0041531

install python setup.py install

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Tools for analyzing human-generated random number sequences

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