marg: Approximate Marginal Inference for Regression-Scale Models

Likelihood inference based on higher order approximations for linear nonnormal regression models.

Version: 1.2-2.1
Depends: R (≥ 3.0.0), statmod, survival
Suggests: boot, cond, csampling, 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: marg citation info
In views: Distributions
CRAN checks: marg results

Documentation:

Reference manual: marg.pdf

Downloads:

Package source: marg_1.2-2.1.tar.gz
Windows binaries: r-devel: marg_1.2-2.1.zip, r-release: marg_1.2-2.1.zip, r-oldrel: marg_1.2-2.1.zip
macOS binaries: r-release (arm64): marg_1.2-2.1.tgz, r-oldrel (arm64): marg_1.2-2.1.tgz, r-release (x86_64): marg_1.2-2.1.tgz, r-oldrel (x86_64): marg_1.2-2.1.tgz
Old sources: marg archive

Reverse dependencies:

Reverse depends: csampling
Reverse suggests: cond, fitteR, nlreg

Linking:

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