cond: Approximate Conditional Inference for Logistic and Loglinear Models

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

Version: 1.2-3.1
Depends: R (≥ 3.0.0), statmod, survival
Suggests: boot, csampling, marg, nlreg
Published: 2018-04-16
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 | GPL-3 | file LICENCE [expanded from: GPL (≥ 2) | file LICENCE]
URL: https://www.r-project.org, http://statwww.epfl.ch/AA/
NeedsCompilation: no
Citation: cond citation info
CRAN checks: cond results

Downloads:

Reference manual: cond.pdf
Vignettes: hoa: An R Package Bundle for Higher Order Likelihood Inference
Package source: cond_1.2-3.1.tar.gz
Windows binaries: r-prerel: cond_1.2-3.1.zip, r-release: cond_1.2-3.1.zip, r-oldrel: cond_1.2-3.1.zip
OS X binaries: r-prerel: cond_1.2-3.1.tgz, r-release: cond_1.2-3.1.tgz
Old sources: cond archive

Reverse dependencies:

Reverse depends: likelihoodAsy
Reverse suggests: marg, nlreg

Linking:

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