Title: Functions for Working with Two- And Four-Parameter Beta
parameter Beta distributions, including alternative parameterizations and calculation

of moments. Includes functions for estimating classification accuracy, diagnostic
performance and consistency, using what's known as the Livingston and Lewis approach
in the educational-measurement literature as the base method.

Description: Package providing a number of functions for working with Two- and
Four-parameter Beta distributions, including alternative parameterizations,
calculation of moments, and fitting of Beta distributions to vectors of
values. Also includes functions for estimating classification accuracy,
diagnostic performance and consistency, using 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.

foundational method, which makes extensive use of the Beta distribution. A
shiny application is now online which provides a GUI for the Livingston and
Lewis approach. The application can be found at <https://hthaa.shinyapps.io/shinybeta/>

shiny application is now online, providing a GUI for the Livingston and
Lewis approach. See documentation for LL.CA() function.

Four-parameter Beta 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
shiny application is available, providing a GUI for the Livingston and
Lewis approach. For link, see documentation for the LL.CA() function.

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 link,
see documentation for the LL.CA() function.