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AovBay: Classic, Nonparametric and Bayesian One-Way Analysis of Variance Panel

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.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: methods, DT, shiny, shinydashboardPlus, shinydashboard, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.1.1), dplyr, tibble, BayesFactor, broom, car, highcharter, moments, reshape, nortest, purrr, shinycssloaders, stringr, waiter, htmltools
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Published: 2021-07-22
DOI: 10.32614/CRAN.package.AovBay
Author: Mauricio Rojas-Campuzano [aut, cre, ctb], Johny Pambabay-Calero [aut, ctb], Sergio Bauz-Olvera [ctb], Omar Ruiz-Barzola [ctb]
Maintainer: Mauricio Rojas-Campuzano <maujroja at espol.edu.ec>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
In views: Bayesian
CRAN checks: AovBay results

Documentation:

Reference manual: AovBay.pdf

Downloads:

Package source: AovBay_0.1.0.tar.gz
Windows binaries: r-devel: AovBay_0.1.0.zip, r-release: AovBay_0.1.0.zip, r-oldrel: AovBay_0.1.0.zip
macOS binaries: r-release (arm64): AovBay_0.1.0.tgz, r-oldrel (arm64): AovBay_0.1.0.tgz, r-release (x86_64): AovBay_0.1.0.tgz, r-oldrel (x86_64): AovBay_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=AovBay 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.