glmglrt: GLRT P-Values in Generalized Linear Models

Provides functions to compute Generalized Likelihood Ratio Tests (GLRT) and Rao's score tests of simple and complex contrasts of Generalized Linear Models (GLMs). It provides the same interface as summary.glm(), adding GLRT P-values, less biased than Wald's P-values and consistent with profile-likelihood confidence interval generated by confint().

Version: 0.1.0
Imports: base, stats, parameters (≥ 0.1.0), MASS
Suggests: testthat (≥ 2.1.0), lme4, nlme, datasets
Enhances: nnet, survival, lmerTest
Published: 2020-03-19
Author: André GILLIBERT [aut, cre]
Maintainer: André GILLIBERT <andre.gillibert at chu-rouen.fr>
License: GPL-2
NeedsCompilation: no
CRAN checks: glmglrt results

Downloads:

Reference manual: glmglrt.pdf
Package source: glmglrt_0.1.0.tar.gz
Windows binaries: r-devel: glmglrt_0.1.0.zip, r-devel-gcc8: glmglrt_0.1.0.zip, r-release: glmglrt_0.1.0.zip, r-oldrel: glmglrt_0.1.0.zip
OS X binaries: r-release: glmglrt_0.1.0.tgz, r-oldrel: glmglrt_0.1.0.tgz

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