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: 0.1.0
Depends: Matrix, matrixStats, quadprog
Imports: methods
Published: 2020-03-25
Author: Adam Bekhit, Jakob Schöpe, Stefan Wagenpfeil
Maintainer: Adam Bekhit <adam.bekhit at 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
Package source: BSW_0.1.0.tar.gz
Windows binaries: r-devel: BSW_0.1.0.zip, r-release: BSW_0.1.0.zip, r-oldrel: BSW_0.1.0.zip
macOS binaries: r-release: BSW_0.1.0.tgz, r-oldrel: BSW_0.1.0.tgz

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