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BiVariAn  

Bivariate Automatic Analysis
View on CRAN: Click here


Download and install BiVariAn package within the R console
Install from CRAN:
install.packages("BiVariAn")

Install from Github:
library("remotes")
install_github("cran/BiVariAn")

Install by package version:
library("remotes")
install_version("BiVariAn", "1.0.1")



Attach the package and use:
library("BiVariAn")
Maintained by
José Andrés Flores-García
[Scholar Profile | Author Map]
First Published: 2025-03-05
Latest Update: 2025-03-05
Description:
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>.
How to cite:
José Andrés Flores-García (2025). BiVariAn: Bivariate Automatic Analysis. R package version 1.0.1, https://cran.r-project.org/web/packages/BiVariAn. Accessed 10 Apr. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for BiVariAn
Functions, R codes and Examples using the BiVariAn R package
Full BiVariAn package functions and examples
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