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.


Reference manual

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0.2.2 by André GILLIBERT, a year ago

Browse source code at

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