cond (1.2-3.1)

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Approximate Conditional Inference for Logistic and Loglinear Models.

https://www.r-project.org
http://statwww.epfl.ch/AA/
http://cran.r-project.org/web/packages/cond

Higher order likelihood-based inference for logistic and loglinear models.

Maintainer: Alessandra R. Brazzale
Author(s): S 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.

License: GPL (>= 2) | file LICENCE

Uses: statmod, survival, boot, csampling, marg, nlreg
Reverse depends: likelihoodAsy
Reverse suggests: marg, nlreg

Released 6 months ago.


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