The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
Reference manual: | AovBay.pdf |
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 |
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.
Health stats visible at Monitor.