glmglrt
0.2.2GLRT P-Values in Generalized Linear Models
Overview
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.
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Code & Tests
- Cyclomatic complexity
- 3.0 median / 20 max
- Test cases
- 28 / 0.24 per code line
- Documented parameters
- 100%
Test coverage
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Functions
60 9 exported
Complexity
4.5 avg / 20 max
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60 nodes / 82 edges
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People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-06-13issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.2.22020-08-07 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.1.02020-03-19
- RR 3.6.0 released · 2019-04-26
Package metadata
- Total releases
- 2
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5
- Download size
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