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Curates a comprehensive and robust collection of 15 classic educational, economic, and social science datasets meticulously tailored for empirical research, project-based learning, and academic instruction in higher education. It streamlines exploratory data analysis, business intelligence modeling, regression techniques, and hypothesis testing by providing ready-to-use data structures sourced from prominent community packages (Kleiber and Zeileis (2008) <https://CRAN.R-project.org/package=AER>; Fox and Weisberg (2019) <https://CRAN.R-project.org/package=carData>).
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Suggests: | ggplot2, testthat (≥ 3.0.0), dplyr, knitr, rmarkdown |
| Published: | 2026-10-02 |
| DOI: | 10.32614/CRAN.package.eduResearchR |
| Author: | Jorge Luis Marmanillo Santana
|
| Maintainer: | Jorge Luis Marmanillo Santana <jlmarmanillo at gmail.com> |
| BugReports: | https://github.com/jlmarmanillo-jlms/eduResearchR/issues |
| License: | GPL-3 |
| URL: | https://github.com/jlmarmanillo-jlms/eduResearchR |
| NeedsCompilation: | no |
| Language: | en |
| Citation: | eduResearchR citation info |
| Materials: | README |
| CRAN checks: | eduResearchR results |
| Reference manual: | eduResearchR.html , eduResearchR.pdf |
| Vignettes: |
intro-eduResearchR (source, R code) |
| Package source: | eduResearchR_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: eduResearchR_0.1.0.zip |
| macOS binaries: | r-release (arm64): eduResearchR_0.1.0.tgz, r-oldrel (arm64): eduResearchR_0.1.0.tgz, r-release (x86_64): eduResearchR_0.1.0.tgz, r-oldrel (x86_64): eduResearchR_0.1.0.tgz |
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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.