Package: logbin 2.0.6.9000

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.

Authors:Mark W. Donoghoe [aut, cre], Ian C. Marschner [ths], Alexandra C. Gillett [ctb], The R Core Team [cph]

logbin_2.0.6.9000.tar.gz
logbin_2.0.6.9000.zip(r-4.7-any)logbin_2.0.6.9000.zip(r-4.6-any)logbin_2.0.6.9000.zip(r-4.5-any)
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logbin_2.0.6.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
logbin/json (API)

# Install 'logbin' in R:
install.packages('logbin', repos = c('https://mdonoghoe.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mdonoghoe/logbin/issues

On CRAN:

Conda:

5.42 score 13 stars 1 packages 67 scripts 541 downloads 2 mentions 15 exports 15 dependencies

Last updated from:5c4966853f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK167
source / vignettesOK165
linux-release-x86_64OK198
macos-release-arm64OK134
macos-oldrel-arm64OK103
windows-develOK154
windows-releaseOK130
windows-oldrelOK131
wasm-releaseOK98

Exports:anova.logbinanova.logbinlistBconfint.logbinIsologbinlogbin.controllogbin.smoothnplbinplot.logbin.smoothpredict.logbinpredict.logbin.smoothprint.summary.logbinsummary.logbinvcov.logbin

Dependencies:codetoolsdoParallelforeachglm2iteratorsitertools2latticeMASSMatrixMatrixModelsnumDerivquantregSparseMsurvivalturboEM