betafunctions: Functions for Working with Two- And Four-Parameter Beta
Probability Distributions and Psychometric Analysis of
Classifications
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, among other things:
- d/p/q/r functions for Four-Parameter Beta distributions and Generalized
"Binomial" (continuous) distributions, and d/p/r- functions for Beta-
Binomial distributions.
- d/p/q/r functions for Two- and Four-Parameter Beta distributions
parameterized in terms of their means and variances rather than their
shape-parameters.
- Moment generating functions for Binomial distributions, Beta-Binomial
distributions, and observed value distributions.
- 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>.
Documentation:
Downloads:
Reverse dependencies:
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