gamma: The Gamma Distribution

In njm18/gmatrix: GPU Computing in R

Description

Density, and random generation for the Gamma distribution with parameters shape and scale.

Usage

gdgamma(x, shape, rate = 1, scale = 1/rate, log = FALSE, type = "d")
grgamma(n, shape, rate = 1, scale = 1/rate, type = "d")

Arguments

x	vector of quantiles
n	number of random values to return
shape,scale	shape and scale parameters. Must be positive, scale strictly
rate	an alternative way to specify the scale
log	logical; if TRUE, probabilities/densities p are returned as log(p)
type	specify the type; may be "double", "single" (or short form "d" or "s")

Details

Works in much the same way as the R base functions.

Value

gdgamma gives the density and grgamma generates random deviates.

Author(s)

Nathan Morris

References

Random gamma simulation was implemented using the algorithm described in: Marsaglia and Tsang (2000) A Simple Method for Generating Gamma Variables. ACM Transactions on Mathematical Software. Volume 26 Issue 3, Pages 363-372.

See Also

dgamma

Examples

myRndNums = grgamma(10, c(1,2))

njm18/gmatrix documentation built on May 23, 2019, 7:07 p.m.