cond: Approximate conditional inference for logistic and loglinear models

Higher order likelihood-based inference for logistic and loglinear models

AuthorS original by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>. R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>, following earlier work by Douglas Bates.
Date of publication2014-06-27 18:40:35
MaintainerAlessandra R. Brazzale <alessandra.brazzale@unipd.it>
LicenseGPL (>= 2) | file LICENCE
Version1.2-3
http://www.r-project.org
http://statwww.epfl.ch/AA/

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cond/COPYING
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cond/inst/doc/Rnews-paper.Rnw
cond/inst/doc/Rnews-paper.R
cond/inst/doc/Rnews-paper.pdf
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cond/data
cond/data/fraudulent.rda
cond/data/dormicum.rda
cond/data/babies.rda
cond/data/airway.rda
cond/data/aids.rda
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cond/data/fungal.rda
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cond/vignettes/Rnews-paper.Rnw
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cond/DESCRIPTION
cond/LICENCE
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