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
DOI: 10.32614/CRAN.package.cond
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>
License: GPL-2 | GPL-3 | file LICENCE [expanded from: GPL (≥ 2) | file LICENCE]
NeedsCompilation: no
Citation: cond citation info
CRAN checks: cond results


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-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cond_1.2-3.1.tgz, r-oldrel (arm64): cond_1.2-3.1.tgz, r-release (x86_64): cond_1.2-3.1.tgz, r-oldrel (x86_64): cond_1.2-3.1.tgz
Old sources: cond archive

Reverse dependencies:

Reverse depends: likelihoodAsy
Reverse suggests: marg, nlreg


Please use the canonical form to link to this page.