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 [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:

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