# gld: Basic functions for RS-GLD In gb: Generalize Lambda Distribution and Generalized Bootstrapping

## Description

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

## Usage

 ```1 2 3 4 5``` ```## 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 [email protected]

## 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.

`fit.gld`, `qegld`,`pegld`, `regld`,`degld`.
 ```1 2 3 4 5 6 7 8``` ```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) ```