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oddsratio: Odds Ratio Calculation for GAM(M)s & GLM(M)s

Simplified odds ratio calculation of GAM(M)s & GLM(M)s. Provides structured output (data frame) of all predictors and their corresponding odds ratios and confident intervals for further analyses. It helps to avoid false references of predictors and increments by specifying these parameters in a list instead of using 'exp(coef(model))' (standard approach of odds ratio calculation for GLMs) which just returns a plain numeric output. For GAM(M)s, odds ratio calculation is highly simplified with this package since it takes care of the multiple 'predict()' calls of the chosen predictor while holding other predictors constant. Also, this package allows odds ratio calculation of percentage steps across the whole predictor distribution range for GAM(M)s. In both cases, confident intervals are returned additionally. Calculated odds ratio of GAM(M)s can be inserted into the smooth function plot.

Version: 2.0.1
Depends: R (≥ 3.0.0)
Imports: ggplot2 (≥ 3.0.0), mgcv, stats
Suggests: knitr, MASS, rmarkdown, testthat
Published: 2020-05-24
DOI: 10.32614/CRAN.package.oddsratio
Author: Patrick Schratz ORCID iD [aut, cre]
Maintainer: Patrick Schratz <patrick.schratz at gmail.com>
BugReports: https://github.com/pat-s/oddsratio/issues
License: MIT + file LICENSE
URL: https://github.com/pat-s/oddsratio
NeedsCompilation: no
Citation: oddsratio citation info
Materials: NEWS
CRAN checks: oddsratio results

Documentation:

Reference manual: oddsratio.pdf
Vignettes: getting-started

Downloads:

Package source: oddsratio_2.0.1.tar.gz
Windows binaries: r-devel: oddsratio_2.0.1.zip, r-release: oddsratio_2.0.1.zip, r-oldrel: oddsratio_2.0.1.zip
macOS binaries: r-release (arm64): oddsratio_2.0.1.tgz, r-oldrel (arm64): oddsratio_2.0.1.tgz, r-release (x86_64): oddsratio_2.0.1.tgz, r-oldrel (x86_64): oddsratio_2.0.1.tgz
Old sources: oddsratio archive

Reverse dependencies:

Reverse imports: RQdeltaCT

Linking:

Please use the canonical form https://CRAN.R-project.org/package=oddsratio to link to this page.

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.