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 Wolf ORCID iD [aut], Julius Johannes Weise ORCID iD [aut, cre], Stefan Wagenpfeil ORCID 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_0.1.1.zip, r-release: BSW_0.1.1.zip, r-oldrel: BSW_0.1.1.zip
macOS binaries: r-release (arm64): BSW_0.1.1.tgz, r-oldrel (arm64): BSW_0.1.1.tgz, r-release (x86_64): BSW_0.1.2.tgz, r-oldrel (x86_64): BSW_0.1.2.tgz
Old sources: BSW archive

Linking:

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