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  "Title": "Spatial Distribution Dynamics",
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  "Description": "A tidy toolkit for distribution dynamics: analysing how a\ncross-sectional distribution of values evolves over time and\nwhere it settles in the long run. Provides discrete-time,\nspatial, rank and local indicator of spatial association\n('LISA') Markov transition estimation, ergodic analysis\n(steady-state, mean first passage and sojourn times),\nrank-mobility measures (Kendall's tau and the Theta statistic)\nand Markov mobility indices. Methods use long-format\n'id'/'time'/'value' data rather than transition matrices and\nbuild on the distribution-dynamics literature (Quah (1993); Rey\n(2001) <doi:10.1111/j.1538-4632.2001.tb00444.x>). Results are\nvalidated for numerical parity against the reference 'giddy'\nlibrary.",
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  "Encoding": "UTF-8",
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  "URL": "https://github.com/mqfarooqi1/sddr",
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      "title": "Classic Markov chain for distribution dynamics",
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      "title": "Ergodic (steady-state) distribution of a Markov chain",
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        "steady_state.sddr_markov"
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      "title": "Local Kendall's tau (local indicator of mobility association)",
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