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AovBay  

Classic, Nonparametric and Bayesian One-Way Analysis of Variance Panel
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("AovBay", "0.1.0")



Attach the package and use:
library("AovBay")
Maintained by
Mauricio Rojas-Campuzano
[Scholar Profile | Author Map]
First Published: 2021-07-22
Latest Update: 2021-07-22
Description:
It covers various approaches to analysis of variance, provides an assumption testing section in order to provide a decision diagram that allows selecting the most appropriate technique. It provides the classical analysis of variance, the nonparametric equivalent of Kruskal Wallis, and the Bayesian approach. These results are shown in an interactive shiny panel, which allows modifying the arguments of the tests, contains interactive graphics and presents automatic conclusions depending on the tests in order to contribute to the interpretation of these analyzes. 'AovBay' uses 'Stan' and 'FactorBayes' for Bayesian analysis and 'Highcharts' for interactive charts.
How to cite:
Mauricio Rojas-Campuzano (2021). AovBay: Classic, Nonparametric and Bayesian One-Way Analysis of Variance Panel. R package version 0.1.0, https://cran.r-project.org/web/packages/AovBay. Accessed 23 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited AovBay R package
View AovBay citation profile
Other R packages that AovBay depends, imports, suggests or enhances
Complete documentation for AovBay
Functions, R codes and Examples using the AovBay R package
Some associated functions: AovBay-package . PollutionData . aovbayes . 
Some associated R codes: AovBay-package.R . aovbayes.R . data.R . stanmodels.R .  Full AovBay package functions and examples
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