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We introduce and illustrate GLMcat, the R package we developed to estimate generalized linear models implemented under the unified specification \((r, F, Z)\), where \(r\) represents the ratio of probabilities (reference, cumulative, adjacent or sequential), \(F\) the cumulative cdf function for the linkage, and \(Z\) the design matrix. We present the properties of the four families of models, which must be investigated when selecting the components \(r\), \(F\), and \(Z\). The functions are user-friendly and fairly intuitive; offering the possibility to choose from a large range of models through a combination \((r, F, Z)\).
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