cond: Approximate conditional inference for logistic and loglinear models

Higher order likelihood-based inference for logistic and loglinear models

Version: 1.2-1
Depends: R (≥ 2.14.0), statmod, survival
Suggests: boot, csampling, marg, nlreg
Published: 2011-11-25
Author: S original by Alessandra R. Brazzale. R port by Alessandra R. Brazzale, following earlier work by Douglas Bates.
Maintainer: Alessandra R. Brazzale <alessandra.brazzale at unipd.it>
License: GPL (≥ 2) (see file LICENCE)
URL: http://www.r-project.org, http://statwww.epfl.ch/AA/
NeedsCompilation: no
Citation: cond citation info
CRAN checks: cond results

Downloads:

Package source: cond_1.2-1.tar.gz
MacOS X binary: cond_1.2-1.tgz
Windows binary: cond_1.2-1.zip
Reference manual: cond.pdf
Vignettes: hoa: An R Package Bundle for Higher Order Likelihood Inference
Old sources: cond archive

Reverse dependencies:

Reverse suggests: marg, nlreg