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BCA1SG

0.1.0Package record

Block Coordinate Ascent with One-Step Generalized Rosen Algorithm

0packages depend
2.6Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Wang Yudong <yudongw@u.nus.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Wang",
                      family = "Yudong",
                      role = c("aut", "cre"),
                      email = "yudongw@u.nus.edu"),
               person(given = "Ye",
                      family = "Zhisheng",
                      role = "aut"),
               person(given = "Cao",
                      family = "Hongyuan",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 1.1 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 200 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
100%

Downloads

2.6K
CRAN downloads in the past year
Rank #16,754 · ~7/day · ~216/mo
Daily download trend is not available in this view yet.
24430 days
75890 days
2.6K1 year
Compare downloads with other packages →
Also on81 r2u14 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing BCA1SG adds 1 package (0 with compiled code, 1.9 KB of source tarballs). Heaviest: logOfGamma 1.9 KB.

Depends (1)
R >= 3.5.0
Imports (3)
MatrixlogOfGammastats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (3)

Maintainer since 0.1.0 (2019)

Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.0Latest
    2019-12-06 · current release
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-12-06
Total releases
1 / 7 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
8.7 KB / 3 files
Download size
18 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BCA1SG")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BCA1SG version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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