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BCA1SG  

Block Coordinate Ascent with One-Step Generalized Rosen Algorithm
View on CRAN: Click here


Download and install BCA1SG package within the R console
Install from CRAN:
install.packages("BCA1SG")

Install from Github:
library("remotes")
install_github("cran/BCA1SG")

Install by package version:
library("remotes")
install_version("BCA1SG", "0.1.0")



Attach the package and use:
library("BCA1SG")
Maintained by
Wang Yudong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-06
Latest Update: 2019-12-06
Description:
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) . For details of the semiparametric models for panel count data, interval-censored survival data, and degradation data, please see Wellner and Zhang (2007) , Huang and Wellner (1997) , and Wang and Xu (2010) , respectively.
How to cite:
Wang Yudong (2019). BCA1SG: Block Coordinate Ascent with One-Step Generalized Rosen Algorithm. R package version 0.1.0, https://cran.r-project.org/web/packages/BCA1SG. Accessed 02 Nov. 2026.
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Complete documentation for BCA1SG
Functions, R codes and Examples using the BCA1SG R package
Some associated functions: BCA1SG_NHPP . BCA1SG_degradation . BCA1SG_interval_censor . adapt_duser . adapt_skiTum . liner . 
Some associated R codes: BCA1SG_NHPP.R . BCA1SG_degradation.R . BCA1SG_interval_censor.R . data.R .  Full BCA1SG package functions and examples
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