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Data and functions to support Bayesian and frequentist inference and decision making for the Coursera Specialization "Statistics with R". See <https://github.com/StatsWithR/statsr> for more information.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.3.0), BayesFactor |
| Imports: | dplyr, rmarkdown, knitr, ggplot2, broom, gridExtra, shiny, cubature, tidyr, tibble, utils |
| Suggests: | spelling, HistData, testthat (≥ 3.0.0) |
| Published: | 2021-01-22 |
| DOI: | 10.32614/CRAN.package.statsr |
| Author: | Colin Rundel [aut], Mine Cetinkaya-Rundel [aut], Merlise Clyde [aut, cre], David Banks [aut] |
| Maintainer: | Merlise Clyde <clyde at duke.edu> |
| BugReports: | https://github.com/StatsWithR/statsr/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/StatsWithR/statsr |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | statsr results |
| Reference manual: | statsr.pdf |
| Package source: | statsr_0.3.0.tar.gz |
| Windows binaries: | r-devel: statsr_0.3.0.zip, r-release: statsr_0.3.0.zip, r-oldrel: statsr_0.3.0.zip |
| macOS binaries: | r-release (arm64): statsr_0.3.0.tgz, r-oldrel (arm64): statsr_0.3.0.tgz, r-release (x86_64): statsr_0.3.0.tgz, r-oldrel (x86_64): statsr_0.3.0.tgz |
| Old sources: | statsr 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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