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A tutorial on fitting Generalized Linear Models for categorical responses with the GLMcat package3 years ago
Introduction to the (r,F,Z) methodology: | Ratio of probabilities r\ | Cumulative cdf function F\ | Design Matrix $Z$\ | Fitting (r,F,Z) with the glmcat package | Family of reference models | Family of adjacent models | Family of sequential models | Family of cumulative models | Conclusion | References
An example of variable selection in GLMcat3 years ago
Student CDF | Logistic CDF
An example of discrete choice modeling in GLMcat3 years ago
Dataset | Conclusion | References