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: BCA1SG_0.1.0.tgz, r-oldrel: BCA1SG_0.1.0.tgz |
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