High-Performance Open-Source Archive
Aids in learning statistical functions incorporating the result of calculus done with each function and how they are obtained, that is, which equation and variables are used. Also for all these equations and their related variables detailed explanations and interactive exercises are also included. All these characteristics allow to the package user to improve the learning of statistics basics by means of their use.
| Version: | 2.4 |
| Depends: | magick, crayon |
| Suggests: | knitr, rmarkdown |
| Published: | 2023-08-30 |
| DOI: | 10.32614/CRAN.package.LearningRlab |
| Author: | Carlos Javier Hellin Asensio [aut, cre], Jose Manuel Gomez Caceres [aut], Dennis Monheimius [aut], Eduardo Benito [aut], Juan Jose Cuadrado [aut], Universidad de Alcala de Henares [aut] |
| Maintainer: | Carlos Javier Hellin Asensio <carlos.hellin at uah.es> |
| License: | Unlimited |
| NeedsCompilation: | yes |
| In views: | TeachingStatistics |
| CRAN checks: | LearningRlab results |
| Reference manual: | LearningRlab.html , LearningRlab.pdf |
| Vignettes: |
Introduction to LearningRlab (source, R code) |
| Package source: | LearningRlab_2.4.tar.gz |
| Windows binaries: | r-devel: LearningRlab_2.4.zip, r-release: LearningRlab_2.4.zip, r-oldrel: LearningRlab_2.4.zip |
| macOS binaries: | r-release (arm64): LearningRlab_2.4.tgz, r-oldrel (arm64): LearningRlab_2.4.tgz, r-release (x86_64): LearningRlab_2.4.tgz, r-oldrel (x86_64): LearningRlab_2.4.tgz |
| Old sources: | LearningRlab archive |
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