Work

glmc: Fitting Generalized Linear Models Subject to Constraints

Year: 2006

Type: dataset

Abstract: 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.

DOI: 10.32614/cran.package.glmc

Authors: Sanjay Chaudhuri, Mark S. Handcock

Institution: University of Washington

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4399549950

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