Functions for Working with Two- And Four-Parameter Beta Probability Distributions

Package providing a number of functions for working with Two- and Four-parameter Beta and closely related distributions (i.e., the Gamma and Binomial distributions), including parameterization in terms of moments, and fitting of Beta distributions to vectors of values. Also includes functions for estimating classification accuracy, diagnostic performance, and consistency, making use of what is generally known as the 'Livingston and Lewis approach' in the psychometric literature as the foundational method, which makes extensive use of the Beta distribution. A shiny app is available, providing a GUI for the Livingston and Lewis approach for binary classifications. For link, see documentation for the LL.CA() function. Livingston and Lewis (1995) . Lord (1965) . Hanson (1991) <>. Tharwat (2020) .


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1.6.1 by Haakon Eidem Haakstad, a month ago

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Authors: Haakon Eidem Haakstad

Documentation:   PDF Manual  

Task views: Probability Distributions, Psychometric Models and Methods

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See at CRAN