gldrm
1.6Generalized Linear Density Ratio Models
Overview
Fits a generalized linear density ratio model (GLDRM). A GLDRM is a semiparametric generalized linear model. In contrast to a GLM, which assumes a particular exponential family distribution, the GLDRM uses a semiparametric likelihood to estimate the reference distribution. The reference distribution may be any discrete, continuous, or mixed exponential family distribution. The model parameters, which include both the regression coefficients and the cdf of the unspecified reference distribution, are estimated by maximizing a semiparametric likelihood. Regression coefficients are estimated with no loss of efficiency, i.e. the asymptotic variance is the same as if the true exponential family distribution were known. Huang (2014) doi:10.1080/01621459.2013.824892. Huang and Rathouz (2012) doi:10.1093/biomet/asr075. Rathouz and Gao (2008) doi:10.1093/biostatistics/kxn030.
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4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.6Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 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
- 1.52018-04-13 · diff ↗
- 1.42017-12-06 · diff ↗
- 1.12017-06-28
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-06-28
- Total releases
- 4 / 9 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.2.2
- Download size
- 29 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet