Package providing a number of functions for working with Two- and
Four-parameter Beta and closely related distributions (i.e., the Gamma-
Binomial-, and Beta-Binomial distributions), including parameterization in
terms of moments, and fitting of Beta distributions to vectors of values.
Includes d/p/r- and a function and for calculating moments of Beta-Binomial
distributions. 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 which models observed-score distributions in terms of the Beta-
Binomial distribution. A shiny app is available, providing a GUI for the
Livingston and Lewis approach when used for binary classifications. For
url to the app, 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) <https://files.eric.ed.gov/fulltext/ED344945.pdf>.
Tharwat (2020) <doi:10.1016/j.aci.2018.08.003>.

Package providing a number of functions for working with Two- and
Four-parameter Beta and closely related distributions (i.e., the Gamma-
Binomial-, and Beta-Binomial distributions). Includes d/p/q/r functions for
Four-Parameter Beta distributions and d/p/r- functions for Beta-Binomial
distributions. Includes moment-generating functions for Beta distributions,
Binomial distributions, Beta-Binomial distributions, and observed value
distributions.
Includes functions for estimating classification accuracy, and consistency,
making use of the Classical Test-Theory based 'Livingston and Lewis' (L&L)
and 'Hanson and Brennan' approaches. A shiny app is available, providing a
GUI for the L&L approach when used for binary classifications. For url to
the app, 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) <https://files.eric.ed.gov/fulltext/ED344945.pdf>.
Tharwat (2020) <doi:10.1016/j.aci.2018.08.003>.