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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.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Matrix, logOfGamma, stats |
| Published: | 2019-12-06 |
| Author: | Wang Yudong, Ye Zhisheng, and Cao Hongyuan |
| Maintainer: | Wang Yudong <yudongw at u.nus.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | BCA1SG results |
| Reference manual: | BCA1SG.pdf |
| Package source: | BCA1SG_0.1.0.tar.gz |
| Windows binaries: | r-devel: BCA1SG_0.1.0.zip, r-release: BCA1SG_0.1.0.zip, r-oldrel: BCA1SG_0.1.0.zip |
| macOS binaries: | r-release (arm64): BCA1SG_0.1.0.tgz, r-oldrel (arm64): BCA1SG_0.1.0.tgz, r-release (x86_64): BCA1SG_0.1.0.tgz, r-oldrel (x86_64): BCA1SG_0.1.0.tgz |
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