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GB2 (version 1.0)

Generalized Beta Distribution of the Second Kind: properties, likelihood, estimation.

Description

GB2 is a simple package that calculates the basic properties of the Generalized Beta distribution of the second kind - density, distribution function, quantiles, moments. Functions for the full loglikelihood, the profile loglikelihood and the scores are provided. Formulae for various Laeken indicators under the GB2 are implemented. It performs maximum likelihood estimation and non-linear least squares eastimation of the model parameters. It provides various polots for the vizualization and analysis of the results.

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Version

Install

install.packages('GB2')

Monthly Downloads

2,167

Version

1.0

License

GPL (>= 2)

Maintainer

Desislava Nedyalkova

Last Published

January 6th, 2011

Functions in GB2 (1.0)

LogLikelihood

Full Log-likelihood of the GB2 Distribution
Moments

Moments and Other Properties of a GB2 Random Variable
LogDensity

Log Density of the GB2 Distribution
Contprof

Contour Plot of the Profile Log-likelihood of the GB2 Distribution
PlotsML

Cumulative Distribution Plot and Kernel Density Plot for the Fitted GB2
ProfLogLikelihood

Profile Log-likelihood of the GB2 Distribution
Contindic

Sensitivity Analysis of Laeken Indicators on GB2 Parameters
Thomae

Maximum Excess Representation of a Generalized Hypergeometric Function Using Thomae's Theorem
Gini

Computation of the Gini Coefficient for the GB2 Distribution and its Particular Cases.
NonlinearFit

Fitting the GB2 by Minimizing the Distance Between a Set of Indicators and Their GB2 Expressions
Varest

Variance Estimation of the Parameters of the GB2 Distribution
Indicators

Monetary Laeken Indicators under the GB2
gb2

The Generalized Beta Distribution of the Second Kind
MLprofGB2

Maximum Likelihood Estimation of the GB2 Based on the Profile Log-likelihood
MLfullGB2

Maximum Likelihood Estimation of the GB2 Based on the Full Log-likelihood
MLfitGB2

Fitting the GB2 by the Method of Maximum Likelihood Estimation