betafunctions: 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) <doi:10.1111/j.1745-3984.1995.tb00462.x>. Lord (1965) <doi:10.1007/BF02289490>. Hanson (1991) <>. Tharwat (2020) <doi:10.1016/j.aci.2018.08.003>.

Version: 1.6.1
Published: 2021-09-20
Author: Haakon Eidem Haakstad
Maintainer: Haakon Eidem Haakstad <h.t.haakstad at>
License: CC0
NeedsCompilation: no
Materials: README NEWS
In views: Distributions, Psychometrics
CRAN checks: betafunctions results


Reference manual: betafunctions.pdf


Package source: betafunctions_1.6.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): betafunctions_1.6.1.tgz, r-release (x86_64): betafunctions_1.6.1.tgz, r-oldrel: betafunctions_1.6.1.tgz
Old sources: betafunctions archive


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