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: 0.1.1
Depends: Matrix, matrixStats, quadprog
Imports: methods
Suggests: knitr, rmarkdown, testthat
Published: 2021-03-22
Author: Adam Bekhit, Jakob Schöpe, Stefan Wagenpfeil
Maintainer: Adam Bekhit <imbei at med-imbei.uni-saarland.de>
BugReports: https://github.com/adam-bec/BSW/issues
License: GPL (≥ 3)
URL: https://github.com/adam-bec/BSW
NeedsCompilation: no
CRAN checks: BSW results

Downloads:

Reference manual: BSW.pdf
Vignettes: Validation
Package source: BSW_0.1.1.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-release (x86_64): BSW_0.1.1.tgz, r-oldrel: BSW_0.1.1.tgz
Old sources: BSW archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BSW to link to this page.