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.

Getting started

Package details

AuthorWang Yudong, Ye Zhisheng, and Cao Hongyuan
MaintainerWang Yudong <yudongw@u.nus.edu>
LicenseGPL-2
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BCA1SG")

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BCA1SG documentation built on Dec. 7, 2019, 1:07 a.m.