Basic functions for RS-GLD

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Description

To compute the density, distribution, quantile, and to generate random sample for RS-GLD.

Usage

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## Default S3 method:
drsgld(x,lambda)
prsgld(x,lambda)
qrsgld(p,lambda)
rrsgld(n,lambda)

Arguments

x

a numeric value or a vector.

p

a probability or a vector of probabilities.

n

sample size.

lambda

a vector of four parameters for RS-GLD.

Author(s)

B. Wang bwang@jaguar1.usouthal.edu

References

Karian, Z.A., Dudewicz, E.J., McDonald, P., 1996. The Extended Generalized Lambda Distribution System for Fitting Distributions to Data: history,completion of theory, tables, applications, the “final word” on moment fits, Comm. in Statist.- Simul. \& Comput. 25(3), 611-642.

Karian, Z.A., Dudewicz, E.J., 2000. Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods, Chapman and Hall/CRC.

See Also

fit.gld, qegld,pegld, regld,degld.

Examples

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lambdas = c(0, 0.1975, 0.1349,0.1349)
qrsgld(c(0,.1,.5,.7,1),lambdas)
prsgld(c(-10,0,1,3,20),lambdas)
drsgld(c(-10,0,1,3,20),lambdas)
x = sort(rrsgld(100,lambdas))
plot(dnorm(x)~x,type='l')
lines(drsgld(x,lambdas)~x,lty=2,col=2)
lines(density(x),col=4,lty=3)