RandomBetaArray-class: DelayedArray of random beta-distributed values

In LTLA/DelayedRandomArray: Delayed Arrays of Random Values

DelayedArray of random beta-distributed values

Description

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

Usage

RandomBetaArraySeed(dim, shape1, shape2, ncp = 0, chunkdim = NULL)

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

RandomBetaArray(dim, shape1, shape2, ncp = 0, chunkdim = NULL)

Arguments

dim	Integer vector of positive length, specifying the dimensions of the array.
shape1, shape2, ncp	Numeric vector used as the argument of the same name in qbeta. Alternatively, a numeric array-like object with the same dimensions as dim.
chunkdim	Integer vector of length equal to dim, containing the dimensions of each chunk.
seed	A RandomBetaArraySeed object.

Value

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

Author(s)

Aaron Lun

See Also

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

Examples

X <- RandomBetaArraySeed(c(1e5, 1e5), shape1=1, shape2=10)
Y <- DelayedArray(X)
Y

# Fiddling with the distribution parameters:
X2 <- RandomBetaArraySeed(c(1e5, 1e5), shape1=runif(1e5), shape2=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 <- RandomBetaArraySeed(c(1e5, 1e5), shape1=s1, shape2=s1+1)
Y3 <- DelayedArray(X3)
Y3

LTLA/DelayedRandomArray documentation built on July 7, 2024, 12:39 p.m.