drsgld {gb} | R Documentation |
Basic functions for RS-GLD
Description
To compute the density, distribution, quantile, and to generate random sample for RS-GLD.
Usage
## 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
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)
[Package gb version 2.3.3 Index]