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BSW: Fitting a Log-Binomial Model Using the Bekhit–Schöpe–Wagenpfeil(BSW) Algorithm

Implements a modified Newton-type algorithm (BSW algorithm) for solving the maximum likelihood estimation problem in fitting a log-binomial model under linear inequality constraints.

Version:0.1.2
Depends:R (≥ 4.0)
Imports:Matrix,matrixStats,quadprog, methods, stats,boot,checkmate
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0)
Published:2025-10-06
DOI:10.32614/CRAN.package.BSW
Author:Adam Bekhit [aut], Jakob Schöpe [aut], Thomas WolfORCID iD [aut], Julius Johannes WeiseORCID iD [aut, cre], Stefan WagenpfeilORCID iD [aut]
Maintainer:Julius Johannes Weise <imbei at med-imbei.uni-saarland.de>
BugReports:https://github.com/UdS-MF-IMBEI/BSW/issues
License:GPL (≥ 3)
URL:https://github.com/UdS-MF-IMBEI/BSW
NeedsCompilation:no
Materials:NEWS
CRAN checks:BSW results

Documentation:

Reference manual:BSW.html ,BSW.pdf
Vignettes:Validation (source,R code)

Downloads:

Package source: BSW_0.1.2.tar.gz
Windows binaries: r-devel:BSW_0.1.2.zip, r-release:BSW_0.1.2.zip, r-oldrel:BSW_0.1.2.zip
macOS binaries: r-release (arm64):BSW_0.1.2.tgz, r-oldrel (arm64):BSW_0.1.2.tgz, r-release (x86_64):BSW_0.1.2.tgz, r-oldrel (x86_64):BSW_0.1.2.tgz
Old sources: BSW archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=BSWto link to this page.


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