Package: BeyondBenford 1.4

Blondeau Da Silva Stephane

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).

Authors:Blondeau Da Silva Stephane

BeyondBenford_1.4.tar.gz
BeyondBenford_1.4.tar.gz(r-4.7-any)BeyondBenford_1.4.tar.gz(r-4.6-any)
BeyondBenford_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
BeyondBenford/json (API)

# Install 'BeyondBenford' in R:
install.packages('BeyondBenford', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 274 downloads 9 exports 17 dependencies

Last updated from:3ab11c7ec7. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK113
source / vignettesOK135
linux-release-x86_64OK114
wasm-releaseOK99

Exports:Benf.valBlon.valBlon.val.sdchi2dat.distrdigit.distrobs.numb.digpreptheor.distr.val

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr