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It also enables to plot histograms of digit\ndistributions, both observed in the dataset and given by the\ntwo theoretical approaches (with the digit.ditr() function).\nFinally, it proposes to quantify the goodness of fit via\nPearson's chi-squared test (with the chi2() function).", "License": "GPL-2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-14 10:04:43 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2020-07-24 16:22:10 UTC", "RemoteUrl": "https://github.com/cran/BeyondBenford", "RemoteRef": "HEAD", "RemoteSha": "3ab11c7ec7342696ac2b117bf739e23c2e14e061", "_user": "cran", "_type": "src", "_file": "BeyondBenford_1.4.tar.gz", "_fileid": "https://r2.ropensci.org/4cc7004473dbdc1b351bf874af4189ba0a4254806af26dddf157cd8b45d7654d", "_filesize": 133574, "_sha256": "4cc7004473dbdc1b351bf874af4189ba0a4254806af26dddf157cd8b45d7654d", "_expires": "2027-01-22T10:07:30.000Z", "_created": "2026-10-14T10:04:43.000Z", "_published": 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