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  "Description": "In statistical modeling, there is a wide variety of\nregression models for categorical dependent variables (nominal\nor ordinal data); yet, there is no software embracing all these\nmodels together in a uniform and generalized format. Following\nthe methodology proposed by Peyhardi, Trottier, and Guédon\n(2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R\npackage to estimate generalized linear models implemented under\nthe unified specification (r, F, Z). Where r represents the\nratio of probabilities (reference, cumulative, adjacent, or\nsequential), F the cumulative cdf function for the linkage, and\nZ, the design matrix.",
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