Block Coordinate Ascent with One-Step Generalized Rosen Algorithm
Overview
Implementing the Block Coordinate Ascent with One-Step Generalized Rosen (BCA1SG) algorithm on the semiparametric models for panel count data, interval-censored survival data, and degradation data. A comprehensive description of the BCA1SG algorithm can be found in Wang et al. (2020) https://github.com/yudongstat/BCA1SG/blob/master/BCA1SG.pdf. For details of the semiparametric models for panel count data, interval-censored survival data, and degradation data, please see Wellner and Zhang (2007) doi:10.1214/009053607000000181, Huang and Wellner (1997) <ISBN:978-0-387-94992-5>, and Wang and Xu (2010) doi:10.1198/TECH.2009.08197, respectively.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Wang Yudong <yudongw@u.nus.edu>’
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family = "Zhisheng",
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as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
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- Documented parameters
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Dependencies
Installing BCA1SG adds 1 package (0 with compiled code, 1.9 KB of source tarballs). Heaviest: logOfGamma 1.9 KB.
Code & Tests
Datasets
People & History
Maintainer since 0.1.0 (2019)
- 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
- 0.1.0Latest2019-12-06 · current release
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-12-06
- Total releases
- 1 / 7 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 8.7 KB / 3 files
- Download size
- 18 KB
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