BCA1SG

Block Coordinate Ascent with One-Step Generalized Rosen Algorithm

CRAN Package

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


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports2 packages