Simplify bivariate and regression analyses by automating result generation, including summary tables, statistical tests, and customizable graphs. It supports tests for continuous and dichotomous data, as well as stepwise regression for linear, logistic, and Firth penalized logistic models. While not a substitute for tailored analysis, 'BiVariAn' accelerates workflows and is expanding features like multilingual interpretations of results.The methods for selecting significant statistical tests, as well as the predictor selection in prediction functions, can be referenced in the works of Marc Kery (2003) <doi:10.1890/0012-9623(2003)84[92:NORDIG]2.0.CO;2> and Rainer Puhr (2017) <doi:10.1002/sim.7273>.
Version: 1.0.1 Imports: car, DescTools, dplyr, epitools, fastDummies, ggplot2, ggprism, glue, lifecycle, logistf, magrittr, rlang, rrtable, scales, stats, table1, tidyr, utils Suggests: knitr, riskCommunicator, rmarkdown, spelling, testthat (≥ 3.0.0) Published: 2025-03-05 DOI: 10.32614/CRAN.package.BiVariAn Author: José Andrés Flores-GarcÃa [cre, aut, cph], Antonio Augusto Gordillo-Moscoso [aut], Jhoselin Marian Castro-Rodriguez [aut] Maintainer: José Andrés Flores-GarcÃa <andres.flores at uaslp.mx> BugReports: https://github.com/AndresFloresG/BiVariAn/issues License: GPL (≥ 3) URL: https://github.com/AndresFloresG/BiVariAn NeedsCompilation: no Language: en-US Materials: README NEWS CRAN checks: BiVariAn results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BiVariAn to link to this page.
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