statsr: Companion Software for the Coursera Statistics with R Specialization

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
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

Downloads:

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-release (x86_64): statsr_0.3.0.tgz, r-oldrel: statsr_0.3.0.tgz
Old sources: statsr archive

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