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], The R Core Team [cph]

logbin_2.0.5.9000.tar.gz
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logbin.pdf |logbin.html✨
logbin/json (API)
NEWS

# 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-Forge:

5.02 score 11 stars 1 packages 32 scripts 721 downloads 2 mentions 15 exports 15 dependencies

Last updated 1 hours agofrom:fe4ded093e. Checks:1 OK, 8 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-winERRORMar 07 2025
R-4.5-macERRORMar 07 2025
R-4.5-linuxERRORMar 07 2025
R-4.4-winERRORMar 07 2025
R-4.4-macERRORMar 07 2025
R-4.4-linuxERRORMar 07 2025
R-4.3-winERRORMar 07 2025
R-4.3-macERRORMar 07 2025

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

Dependencies:codetoolsdoParallelforeachglm2iteratorsitertools2latticeMASSMatrixMatrixModelsnumDerivquantregSparseMsurvivalturboEM