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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 |
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 |
Reference manual: | appRiori.pdf |
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 |
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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.
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