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
Documentation
Team
André GILLIBERT
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Last 30 days
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Last 365 days
This package has been downloaded 2,488 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 32 downloads.
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- Imports1 package
- Suggests9 packages