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