Package: logbin 2.0.5.9000

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]

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logbin/json (API)
NEWS

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

Peer review:

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

On CRAN:

4.97 score 11 stars 1 packages 28 scripts 490 downloads 2 mentions 17 exports 15 dependencies

Last updated 3 years agofrom:a41d58a5ef. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winNOTENov 22 2024
R-4.5-linuxNOTENov 22 2024
R-4.4-winOKNov 22 2024
R-4.4-macOKNov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:anova.logbinanova.logbinlistBconfint.logbincontr.isotonic.revinterpret.logbin.smoothIsologbinlogbin.controllogbin.smoothnplbinplot.logbin.smoothpredict.logbinpredict.logbin.smoothprint.summary.logbinsummary.logbinvcov.logbin

Dependencies:codetoolsdoParallelforeachglm2iteratorsitertools2latticeMASSMatrixMatrixModelsnumDerivquantregSparseMsurvivalturboEM