BCA1SG
Block Coordinate Ascent with One-Step Generalized Rosen Algorithm
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.
- Version0.1.0
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?No
- Last release12/06/2019
Documentation
Team
Wang Yudong
Ye Zhisheng
Show author detailsRolesAuthorCao Hongyuan
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 188 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
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Last 365 days
This package has been downloaded 2,198 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 23, 2024 with 21 downloads.
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- Imports2 packages