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  "Title": "Beta Control Charts",
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  "Authors@R": "c(person(\"Ângelo\", \"Santanna\", role = \"aut\", email = \"angelo.santanna@ufba.br\"),\nperson(\"Daniel\", \"Cerqueira\", role = c(\"aut\", \"cre\"), email = \"danielcerqueira@live.com\"))",
  "Description": "Applies Beta Control Charts to defined values. The Beta\nChart presents control limits based on the Beta probability\ndistribution, making it suitable for monitoring fraction data\nfrom a Binomial distribution as a replacement for p-Charts. The\nBeta Chart has been applied in three real studies and compared\nwith control limits from three different schemes. The\ncomparative analysis showed that: (i) the Beta approximation to\nthe Binomial distribution is more appropriate for values\nconfined within the [0, 1] interval; and (ii) the proposed\ncharts are more sensitive to the average run length (ARL) in\nboth in-control and out-of-control process monitoring. Overall,\nthe Beta Charts outperform the Shewhart control charts in\nmonitoring fraction data. For more details, see Ângelo Márcio\nOliveira Sant’Anna and Carla Schwengber ten Caten (2012)\n<doi:10.1016/j.eswa.2012.02.146>.",
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