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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 |
Please use the canonical form https://CRAN.R-project.org/package=statsr 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.