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statsr: Companion Software for the Coursera Statistics with RSpecialization

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 + fileLICENSE
URL:https://github.com/StatsWithR/statsr
NeedsCompilation:no
Language:en-US
Materials:README,NEWS
CRAN checks:statsr results

Documentation:

Reference manual:statsr.html ,statsr.pdf

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=statsrto link to this page.


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