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).

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Description file content

Package
BeyondBenford
Type
Package
Title
Compare the Goodness of Fit of Benford's and Blondeau Da Silva's Digit Distributions to a Given Dataset
Version
1.0
Date
2018-11-17
Author
Blondeau Da Silva Stephane
Maintainer
Blondeau Da Silva Stephane
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).
License
GPL-2
NeedsCompilation
no
Packaged
2018-11-29 09:02:33 UTC; anne
Repository
CRAN
Date/Publication
2018-12-03 19:40:17 UTC

install.packages('BeyondBenford')

1.0

6 days ago

Blondeau Da Silva Stephane

GPL-2

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