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.

appRiori: Code and Obtain Customized Planned Comparisons with 'appRiori'

With 'appRiori', users upload the research variables and the app guides them to the best set of comparisons fitting the hypotheses, for both main and interaction effects. Through a graphical explanation and empirical examples on reproducible data, it is shown that it is possible to understand both the logic behind the planned comparisons and the way to interpret them when a model is tested.

Version: 0.0.5
Imports: dplyr, DT, hypr, markdown, MASS, pracma, rhandsontable, shiny, shinythemes, sortable, stringr
Published: 2024-02-13
DOI: 10.32614/CRAN.package.appRiori
Author: Umberto Granziol [aut, cre], Maximilian Rabe ORCID iD [aut], Andrea Spoto [aut], Giulio Vidotto [aut], Marcello Gallucci [aut]
Maintainer: Umberto Granziol <umberto.granziol at unipd.it>
BugReports: https://github.com/Ugranziol/appRiori/issues
License: GPL (≥ 3)
URL: https://github.com/Ugranziol/appRiori
NeedsCompilation: no
CRAN checks: appRiori results

Documentation:

Reference manual: appRiori.pdf

Downloads:

Package source: appRiori_0.0.5.tar.gz
Windows binaries: r-devel: appRiori_0.0.5.zip, r-release: appRiori_0.0.5.zip, r-oldrel: appRiori_0.0.5.zip
macOS binaries: r-release (arm64): appRiori_0.0.5.tgz, r-oldrel (arm64): appRiori_0.0.5.tgz, r-release (x86_64): appRiori_0.0.5.tgz, r-oldrel (x86_64): appRiori_0.0.5.tgz
Old sources: appRiori archive

Linking:

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