glmglrt: GLRT P-Values in Generalized Linear Models

Provides functions to compute Generalized Likelihood Ratio Tests (GLRT) also known as Likelihood Ratio Tests (LRT) 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(). See Wilks (1938) <doi:10.1214/aoms/1177732360> for the LRT chi-square approximation. See Rao (1948) <doi:10.1017/S0305004100023987> for Rao's score test. See Wald (1943) <doi:10.2307/1990256> for Wald's test.

Version: 0.2.2
Depends: R (≥ 3.5)
Imports: stats, parameters (≥ 0.1.0), MASS
Suggests: testthat (≥ 2.1.0), lme4, nlme, datasets, nnet, survival, lmerTest, mgcv, gam, multcomp
Published: 2020-08-07
Author: André GILLIBERT [aut, cre]
Maintainer: André GILLIBERT <andre.gillibert at chu-rouen.fr>
License: GPL-2
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: glmglrt results

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Reference manual: glmglrt.pdf
Package source: glmglrt_0.2.2.tar.gz
Windows binaries: r-devel: glmglrt_0.1.0.zip, r-release: glmglrt_0.1.0.zip, r-oldrel: glmglrt_0.1.0.zip
macOS binaries: r-release: glmglrt_0.2.2.tgz, r-oldrel: glmglrt_0.2.2.tgz
Old sources: glmglrt archive

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