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betafunctions
View on CRAN: Click
here
Download and install betafunctions package within the R console
Install from CRAN:
install.packages("betafunctions")
Install from Github:
library("remotes")
install_github("cran/betafunctions")
Install by package version:
library("remotes")
install_version("betafunctions", "1.9.0")
Attach the package and use:
library("betafunctions")
Maintained by
Haakon Eidem Haakstad
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.betafunctions . betafunctions results . betafunctions.pdf . betafunctions_1.9.0.tar.gz . betafunctions_1.9.0.zip . betafunctions_1.9.0.zip . betafunctions_1.9.0.zip . betafunctions_1.9.0.tgz . betafunctions_1.9.0.tgz . betafunctions_1.9.0.tgz . betafunctions_1.9.0.tgz . betafunctions_1.9.0.tgz . betafunctions_1.9.0.tgz . betafunctions archive . https://CRAN.R-project.org/package=betafunctions .
First Published: 2020-05-02
Latest Update: 2022-12-04
Description:
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) .
Lord (1965) .
Hanson (1991) .
How to cite:
Haakon Eidem Haakstad (2020). betafunctions: Functions for Working with Two- And Four-Parameter Beta Probability Distributions and Psychometric Analysis of Classifications. R package version 1.9.0, https://cran.r-project.org/web/packages/betafunctions. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.0.2 (2020-05-02 15:10), 1.1.0 (2020-05-10 06:40), 1.2.0 (2020-06-10 23:30), 1.2.1 (2020-09-02 13:00), 1.2.2 (2020-09-16 12:00), 1.3.0 (2020-10-04 19:20), 1.4.0 (2020-10-18 23:40), 1.4.2 (2020-12-04 14:50), 1.4.3 (2021-01-31 06:30), 1.4.4 (2021-02-06 09:00), 1.5.0 (2021-04-30 10:50), 1.6.0 (2021-08-19 20:00), 1.6.1 (2021-09-20 12:30), 1.7.0 (2022-04-12 01:22), 1.8.0 (2022-10-13 14:02), 1.8.1 (2022-12-04 13:40)
Other packages that cited betafunctions R package
View betafunctions citation profile
Other R packages that betafunctions depends,
imports, suggests or enhances
Complete documentation for betafunctions
Functions, R codes and Examples using
the betafunctions R package
Some associated functions: AMS . AUC . BMS . Beta.2p.fit . Beta.4p.fit . Beta.gfx.poly.cdf . Beta.gfx.poly.pdf . Beta.gfx.poly.qdf . Beta.tp.fit . ETL . HB.CA.MC . HB.CA . HB.ROC . HB.beta.tp.fit . HB.tsm . LABMSU . LL.CA.MC . LL.CA . LL.ROC . Lords.k . MC.out.tabular . MLA . MLB . MLM . R.ETL . UABMSL . afac . betabinomialmoments . betamedian . betamode . betamoments . binomialmoments . caStats . cba . ccStats . confmat . dBeta.4P . dBeta.pBeta . dBeta.pBinom . dBeta.pGammaBinom . dBetaBinom . dBetaMS . dBetacBinom . dGammaBinom . dcBinom . dfac . gchoose . mdlfit.gfx . mdo . observedmoments . pBeta.4P . pBetaBinom . pBetaMS . pGammaBinom . pcBinom . qBeta.4P . qBetaMS . qGammaBinom . rBeta.4P . rBetaBinom . rBetaMS . rBetacBinom . rGammaBinom . rcBinom . tsm .
Some associated R codes: betafunctions.R . classification.R . Full betafunctions package functions and examples
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