An Implementation of the Bridge Distribution with Logit-Link as in Wang and Louis (2003)
Overview
An implementation of the bridge distribution with logit-link in R. In Wang and Louis (2003) DOI:10.1093/biomet/90.4.765, such a univariate bridge distribution was derived as the distribution of the random intercept that 'bridged' a marginal logistic regression and a conditional logistic regression. The conditional and marginal regression coefficients are a scalar multiple of each other. Such is not the case if the random intercept distribution was Gaussian.
- fixed empty first {} argument in \deqn
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From NEWS.md in the release
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Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
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- 100%1 run in a plain check
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- Return-value docs
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5 development-tooling and community-health practices detected across 3 families in the upstream repository
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- RR 4.6.0 released · 2026-04-24
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- 0.1.3Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.22022-12-22 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.1.12022-03-02 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.1.02016-04-22
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2016-04-22
- Total releases
- 4 / 10 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.0.0
- Download size
- 69 KB
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