BeyondBenford: Compare the Goodness of Fit of Benford's and Blondeau Da Silva's Digit Distributions to a Given Dataset

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

Documentation:

Reference manual:

BeyondBenford.html , BeyondBenford.pdf

Downloads:

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 dependencies:

Reverse suggests:

digitTests, jfa

Linking:

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