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.

AuthorSanjay Chaudhuri <sanjay@stat.nus.edu.sg>, Mark S. Handcock <handcock@stat.ucla.edu>, Michael S. Rendall <mrendall@rand.org>.
Date of publication2012-12-04 07:25:44
MaintainerSanjay Chaudhuri <sanjay@stat.nus.edu.sg>
LicenseGPL-2
Version0.2-4

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Files

glmc
glmc/MD5
glmc/R
glmc/R/zzz.r
glmc/R/glmc.control.r
glmc/R/summary.glmc.r
glmc/R/glmc.r
glmc/R/glmc-utility.r
glmc/R/glmc.stuff.r
glmc/data
glmc/data/flo.RData
glmc/DESCRIPTION
glmc/NAMESPACE
glmc/man
glmc/man/glmc-package.Rd glmc/man/glmc.Rd glmc/man/glmc.summaries.Rd glmc/man/glmc-internal.Rd glmc/man/summary.glmc.Rd glmc/man/glmc.control.Rd
glmc/inst
glmc/inst/CITATION
glmc/demo
glmc/demo/glmc.r
glmc/demo/00Index

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