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BeyondBenford

1.4

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

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Overview

About
Maintained by Blondeau Da Silva StephaneFirst published 2018-12-035 releasesCRAN page ↗

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).

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  • NOTE2026-03-10
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Documentation

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References docs
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
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none
Imports (1)
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Reverse dependencies
2direct
0indirect

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Listed in earlier versions (1)
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    2020-07-24 · current release · diff ↗
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    R 4.0.0 released · 2020-04-24
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    2020-04-11 · diff ↗
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    2019-11-13 · diff ↗
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    R 3.6.0 released · 2019-04-26
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    2019-01-19 · diff ↗
  • 1.0
    2018-12-03
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-12-03
Total releases
5 / 8 yrs
License
GPL-2 OSI
Bundled data
9.4 KB / 4 files
Download size
32 KB
Installed size
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With dependencies
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