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BeyondBenford
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Download and install BeyondBenford package within the R console
Install from CRAN:
install.packages("BeyondBenford")
Install from Github:
library("remotes")
install_github("cran/BeyondBenford") Install by package version:
library("remotes")
install_version("BeyondBenford", "1.4") Attach the package and use:
library("BeyondBenford")
Maintained by
Blondeau Da Silva Stephane
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First Published: 2018-12-03
Latest Update: 2020-07-24
Description:
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).
How to cite:
Blondeau Da Silva Stephane (2018). BeyondBenford: Compare the Goodness of Fit of Benford's and Blondeau Da Silva's Digit Distributions to a Given Dataset. R package version 1.4, https://cran.r-project.org/web/packages/BeyondBenford. Accessed 08 Mar. 2026.
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Complete documentation for BeyondBenford
Functions, R codes and Examples using
the BeyondBenford R package
Some associated functions: Benf.val . BeyondBenford-package . Blon.val . Blon.val.sd . address_AixesurVienne . address_Limoges . address_PierreBuffiere . census . chi2 . dat.distr . digit.distr . obs.numb.dig . prep . theor.distr.val .
Some associated R codes: Benf.val.R . Blon.val.R . Blon.val.sd.R . chi2.R . dat.distr.R . digit.distr.R . obs.numb.dig.R . prep.R . theor.distr.val.R . Full BeyondBenford package functions and examples
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