Generalized Linear Models for categorical responses: In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. We propose an R package 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 distribution function for the linkage, and Z, the design matrix.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.0.0.9000 |
Package repository | View on GitHub |
Installation |
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