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glmc: Fitting Generalized Linear Models Subject to Constraints
Fits generalized linear models where the parameters are subject to linear constraints. The model is specified by giving a symbolic description of the linear predictor, a description of the error distribution, and a matrix of constraints on the parameters.
Getting started
Browse package contents
Package details |
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| Author | Sanjay Chaudhuri [aut, cre], Mark S. Handcock [aut], Michael S. Rendall [ctb] |
| Maintainer | Sanjay Chaudhuri <sanjay@stat.nus.edu.sg> |
| License | GPL (>= 2) |
| Version | 0.3-1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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