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.
- Version0.2.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release08/07/2020
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Team
André GILLIBERT
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