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Provides a collection of intuitive and user-friendly functions for computing confidence intervals for common statistical tasks, including means, differences in means, proportions, and odds ratios. The package also includes tools for linear regression analysis and several real-world datasets intended for teaching and applied statistical inference.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-01-16 |
| DOI: | 10.32614/CRAN.package.IPAG (may not be active yet) |
| Author: | Gwenaël Piaser [aut, cre] |
| Maintainer: | Gwenaël Piaser <piaser at gmail.com> |
| BugReports: | https://github.com/gpiaser/IPAG/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/gpiaser/IPAG |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | IPAG results |
| Reference manual: | IPAG.html , IPAG.pdf |
| Vignettes: |
Teaching Evaluation Analysis with IPAG (source, R code) |
| Package source: | IPAG_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): IPAG_0.1.0.tgz, r-oldrel (arm64): IPAG_0.1.0.tgz, r-release (x86_64): IPAG_0.1.0.tgz, r-oldrel (x86_64): IPAG_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=IPAG 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.