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  "Title": "Efficient Implementation of Kendall's Correlation Coefficient\nComputation",
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  "Description": "The computational complexity of the implemented algorithm\nfor Kendall's correlation is O(n log(n)), which is faster than\nthe base R implementation with a computational complexity of\nO(n^2). For small vectors (i.e., less than 100 observations),\nthe time difference is negligible. However, for larger vectors,\nthe speed difference can be substantial and the numerical\ndifference is minimal. The references are Knight (1966)\n<doi:10.2307/2282833>, Abrevaya (1999)\n<doi:10.1016/S0165-1765(98)00255-9>, Christensen (2005)\n<doi:10.1007/BF02736122> and Emara (2024)\n<https://learningcpp.org/>. This implementation is described in\nVargas Sepulveda (2025) <doi:10.1371/journal.pone.0326090>.",
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