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.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	Matrix, logOfGamma, stats
Published:	2019-12-06
DOI:	10.32614/CRAN.package.BCA1SG
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

Documentation:

Reference manual:

BCA1SG.pdf

Downloads:

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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