RandomGammaArray-class: DelayedArray of random gamma-distributed values
In LTLA/DelayedRandomArray: Delayed Arrays of Random Values

Description Usage Arguments Value Author(s) See Also Examples

A DelayedArray subclass that performs on-the-fly sampling of gamma-distributed values.

RandomGammaArraySeed(dim, shape, rate = 1, scale = 1/rate, chunkdim = NULL)

## S4 method for signature 'RandomGammaArraySeed'
DelayedArray(seed)

RandomGammaArray(dim, shape, rate = 1, scale = 1/rate, chunkdim = NULL)

`dim`	Integer vector of positive length, specifying the dimensions of the array.
`shape, rate, scale`	Numeric vector used as the argument of the same name in `qgamma`. Alternatively, a numeric array-like object with the same dimensions as `dim`. If `scale` is explicitly supplied, `rate` is ignored.
`chunkdim`	Integer vector of length equal to `dim`, containing the dimensions of each chunk.
`seed`	A RandomGammaArraySeed object.

All constructors return an instance of a RandomGammaArray object, containing random draws from a gamma distribution with the specified parameters.

Aaron Lun

The RandomArraySeed class, for details on chunking and the distributional parameters.

X <- RandomGammaArraySeed(c(1e5, 1e5), shape=1, rate=10)
Y <- DelayedArray(X)
Y

# Fiddling with the distribution parameters:
X2 <- RandomGammaArraySeed(c(1e5, 1e5), shape=runif(1e5), rate=2)
Y2 <- DelayedArray(X2)
Y2

# Using another array as input:
library(Matrix)
s1 <- rsparsematrix(1e5, 1e5, density=0.00001)
s1 <- abs(DelayedArray(s1)) + 1
X3 <- RandomGammaArraySeed(c(1e5, 1e5), shape=s1, rate=s1+1)
Y3 <- DelayedArray(X3)
Y3