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 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

421

Version

1.5.0

License

CC0

Maintainer

Haakon Haakstad

Last Published

April 30th, 2021

Functions in betafunctions (1.5.0)

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

Most Likely True Alpha Value Given Observed Outcome.

ROC curves for the Livingston and Lewis approach.

Classification Accuracy Statistics.

Confusion matrix

Ascending (rising) factorial.

Calculate Cronbach's Alpha from supplied variables.

Classification Consistency Statistics.

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

Most Likely True Beta Value Given Observed Outcome.

dBeta.pGammaBinom

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

Descending (falling) factorial.

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).

Quantile Given Probability Under the Four-Parameter Beta Distribution.

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

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

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

Livingston and Lewis' "Effective Test Length".

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

Probability density function under the Gamma-extended Binomial distribution.

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

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

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

observedmoments

Compute Moments of Observed Value Distribution.

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

Random number generation under the Gamma-extended Binomial distribution.

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

Gamma-extended Binomial coefficient (choose function).

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

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

binomialmoments

Compute Moments of Binomial Probability Mass Functions.

Quantile function for the Gamma-extended Binomial distribution.

Probability Density under the Four-Parameter Beta PDD.

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

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.

Area Under the ROC Curve.

Beta.gfx.poly.pdf

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

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

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

Beta.gfx.poly.cdf

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