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logbin: Relative Risk Regression Using the Log-Binomial Model

Methods for fitting log-link GLMs and GAMs to binomial data, including EM-type algorithms with more stable convergence properties than standard methods.

Version: 2.0.5
Depends: R (≥ 3.0.1)
Imports: splines, glm2, turboEM (≥ 2021.1), Matrix, itertools2, iterators
Published: 2021-08-09
Author: Mark W. Donoghoe ORCID iD [aut, cre], Ian C. Marschner ORCID iD [ths], Alexandra C. Gillett ORCID iD [ctb] (wrote an initial version of the nplbin function)
Maintainer: Mark W. Donoghoe <markdonoghoe at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/mdonoghoe/logbin
NeedsCompilation: no
Citation: logbin citation info
Materials: README NEWS
CRAN checks: logbin results

Documentation:

Reference manual: logbin.pdf

Downloads:

Package source: logbin_2.0.5.tar.gz
Windows binaries: r-devel: logbin_2.0.5.zip, r-release: logbin_2.0.5.zip, r-oldrel: logbin_2.0.5.zip
macOS binaries: r-release (arm64): logbin_2.0.5.tgz, r-oldrel (arm64): logbin_2.0.5.tgz, r-release (x86_64): logbin_2.0.5.tgz, r-oldrel (x86_64): logbin_2.0.5.tgz
Old sources: logbin archive

Reverse dependencies:

Reverse suggests: risks

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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