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) for the LRT chi-square approximation. See Rao (1948) for Rao's score test. See Wald (1943) for Wald's test.


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install.packages("glmglrt")

0.2.2 by André GILLIBERT, 2 months ago


Browse source code at https://github.com/cran/glmglrt


Authors: André GILLIBERT [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports stats, parameters, MASS

Suggests testthat, lme4, nlme, datasets, nnet, survival, lmerTest, mgcv, gam, multcomp


See at CRAN