The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Allows to compare the goodness of fit of Benford's and Blondeau Da Silva's digit distributions in a dataset. It is used to check whether the data distribution is consistent with theoretical distributions highlighted by Blondeau Da Silva or not (through the dat.distr() function): this ideal theoretical distribution must be at least approximately followed by the data for the use of Blondeau Da Silva's model to be well-founded. It also enables to plot histograms of digit distributions, both observed in the dataset and given by the two theoretical approaches (with the digit.ditr() function). Finally, it proposes to quantify the goodness of fit via Pearson's chi-squared test (with the chi2() function).
| Version: | 1.4 |
| Imports: | ggplot2 (≥ 2.1.0) |
| Published: | 2020-07-24 |
| DOI: | 10.32614/CRAN.package.BeyondBenford |
| Author: | Blondeau Da Silva Stephane |
| Maintainer: | Blondeau Da Silva Stephane <Stephane.Blondeau-Da-Silva at ac-limoges.fr> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | BeyondBenford results |
| Reference manual: | BeyondBenford.pdf |
| Package source: | BeyondBenford_1.4.tar.gz |
| Windows binaries: | r-devel: BeyondBenford_1.4.zip, r-release: BeyondBenford_1.4.zip, r-oldrel: BeyondBenford_1.4.zip |
| macOS binaries: | r-release (arm64): BeyondBenford_1.4.tgz, r-oldrel (arm64): BeyondBenford_1.4.tgz, r-release (x86_64): BeyondBenford_1.4.tgz, r-oldrel (x86_64): BeyondBenford_1.4.tgz |
| Old sources: | BeyondBenford archive |
| Reverse suggests: | digitTests, jfa |
Please use the canonical form https://CRAN.R-project.org/package=BeyondBenford 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.