Bias Reduction in the Skew-Probit Model for a Binary Response
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About
Maintained by DongHyuk LeeCRAN page ↗
Provides a function for the estimation of parameters in a binary regression with the skew-probit link function. Naive MLE, Jeffrey type of prior and Cauchy prior type of penalization are implemented, as described in DongHyuk Lee and Samiran Sinha (2019+) doi:10.1080/00949655.2019.1590579.
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NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘DongHyuk Lee <leedhyuk@gmail.com>’
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Authors@R: c(person(given = "DongHyuk",
family = "Lee",
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email = "leedhyuk@gmail.com"),
person(given = "Samiran",
family = "Sinha",
role = "aut"))
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- NOTE12 OK, 2 NOTE2026-03-10
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In release 1.0
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Releases (1)
- RR 4.6.0 released · 2026-04-24
- 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
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.0Latest2019-03-16 · current release
- RR 3.5.0 released · 2018-04-23
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Package metadata
- First published
- 2019-03-16
- Total releases
- 1 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.0
- Download size
- 4.1 KB
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