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  "Title": "Lag-Sequential Categorical Data Analysis",
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  "Description": "Lag-sequential analysis is a method of assessing of\npatterns (what tends to follow what?) in sequences of codes.\nThe codes are typically for discrete behaviors or states. The\nfunctions in this package read a stream of codes, or a\nfrequency transition matrix, and produce a variety of lag\nsequential statistics, including transitional frequencies,\nexpected transitional frequencies, transitional probabilities,\nz values, adjusted residuals, Yule's Q values, likelihood ratio\ntests of stationarity across time and homogeneity across groups\nor segments, transformed kappas for unidirectional dependence,\nbidirectional dependence, parallel and nonparallel dominance,\nand significance levels based on both parametric and\nrandomization tests. The methods are described in Bakeman &\nQuera (2011) <doi:10.1017/CBO9781139017343>, O'Connor (1999)\n<doi:10.3758/BF03200753>, Wampold & Margolin (1982)\n<doi:10.1037/0033-2909.92.3.755>, and Wampold (1995,\nISBN:0-89391-919-5).",
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