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-4.5-noble)BeyondBenford_1.4.tar.gz(r-4.4-noble)
BeyondBenford_1.4.tgz(r-4.4-emscripten)BeyondBenford_1.4.tgz(r-4.3-emscripten)
BeyondBenford.pdf |BeyondBenford.html
BeyondBenford/json (API)

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

Peer review:

Datasets:

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

9 exports 0.00 score 28 dependencies 9 scripts 290 downloads

Last updated 4 years agofrom:3ab11c7ec7. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-linuxOKSep 01 2024

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

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr