betafunctions package - RDocumentation

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betafunctions is free open-source software and comes with absolutely no warranty.

If any bugs or errors are identified, please contact Haakon Eidem Haakstad at h.t.haakstad at cemo.uio.no.

Suggestions for improvements and additional functionalities are welcome and encouraged.

Experimental versions and versions under development might be found at github: https://github.com/hthaa/betafunctions.

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Version

Install

install.packages('betafunctions')

Monthly Downloads

605

Version

1.6.1

License

CC0

Maintainer

Haakon Haakstad

Last Published

September 20th, 2021

Functions in betafunctions (1.6.1)

An Implementation of the Livingston and Lewis (1995) Approach to Estimate Classification Consistency and Accuracy based on Observed Test Scores and Test Reliability.

Cumulative Probability Function under the Four-Parameter Beta Probability Density Distribution.

Area Under the ROC Curve.

Probability of Some Specific Observation under the Standard Beta PDD with Specific Mean and Variance.

Most Likely Mean of the Standard Beta PDD, Given that the Observation is Considered the Most Likely Observation of the Standard Beta PDD (i.e., the mode).

Compute Moments of Two-to-Four Parameter Beta Probability Density Distributions.

Cumulative probability density function under the Gamma-extended Binomial distribution.

Upper Location Parameter Given Shape Parameters, Mean, Variance, and Lower Location Parameter of a Four-Parameter Beta PDD.

Compute Mode of Two- and Four-Parameter Beta Probability Density distribution.

Quantile Given Probability Under the Four-Parameter Beta Distribution.

ROC curves for the Livingston and Lewis approach.

Lower Location Parameter Given Shape Parameters, Mean, Variance, and Upper Location Parameter of a Four-Parameter Beta PDD.

Classification Accuracy Statistics.

dBeta.pGammaBinom

An implementation of a Beta-density Compound Cumulative Gamma-Binomial Distribution.

binomialmoments

Compute Moments of Binomial Probability Mass Functions.

Most Likely True Beta Value Given Observed Outcome.

observedmoments

Compute Moments of Observed Value Distribution.

Classification Consistency Statistics.

Calculate Cronbach's Alpha from supplied variables.

Most Likely True Alpha Value Given Observed Outcome.

Gamma-extended Binomial coefficient (choose function).

Random number generation under the Gamma-extended Binomial distribution.

Ascending (rising) factorial.

Compute Median of Two- and Four-Parameter Beta Probability Density distribution.

Density Under a Specific Point of the Standard Beta PDD with Specific Mean and Variance or Standard Deviation.

Proportional true-score distribution raw moments from Livingston and Lewis' effective test-score and effective test-length.

Probability Density under the Four-Parameter Beta PDD.

Descending (falling) factorial.

Quantile Containing Specific Proportion of the Distribution, Given a Specific Probability of the Standard Beta PDD with Specific Mean and Variance or Standard Deviation.

Probability density function under the Gamma-extended Binomial distribution.

Confusion matrix

An implementation of a Beta-density Compound Cumulative-Beta Distribution.

An Extension of the Livingston and Lewis (1995) Approach to Estimate Classification Consistency and Accuracy for Multiple Classifications based on Observed Test Scores and Test Reliability.

Random Number Generation under the Four-Parameter Beta Probability Density Distribution.

Random Draw from the Standard Beta PDD With Specific Mean and Variance.

Quantile function for the Gamma-extended Binomial distribution.

An implementation of the Beta-density Compound Cumulative Binomial Distribution.

Beta.gfx.poly.cdf

Coordinate Generation for Marking an Area Under the Curve for the Beta Cumulative Probability Density Distribution.

Beta.gfx.poly.qdf

Coordinate Generation for Marking an Area Under the Curve for the Beta Quantile Density Distribution.

Method of Moment Estimates of Shape-Parameters of the Two-Parameter (Standard) Beta Distribution.

Method of Moment Estimates of Shape- and Location Parameters of the Four-Parameter Beta Distribution.

Beta Shape-Parameter Given Location-Parameters, Mean, Variance, Skewness, Kurtosis and Alpha Shape-Parameter of a Four-Parameter Beta PDD.

Livingston and Lewis' "Effective Test Length".

Beta.gfx.poly.pdf

Coordinate Generation for Marking an Area Under the Curve for the Beta Probability Density Distribution.

Estimate Beta true-score distribution based on observed-score raw-moments and the effective test length.

Alpha Shape-Parameter Given Location-Parameters, Mean, Variance, Skewness, Kurtosis and Beta Shape-Parameter of a Four-Parameter Beta PDD.