RandomNbinomArray-class: DelayedArray of random negative binomial values

In LTLA/DelayedRandomArray: Delayed Arrays of Random Values

DelayedArray of random negative binomial values

Description

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

Usage

RandomNbinomArraySeed(
  dim,
  prob = prob,
  size = size,
  mu = mu,
  chunkdim = NULL,
  sparse = FALSE
)

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

RandomNbinomArray(dim, prob, size, mu, chunkdim = NULL, sparse = FALSE)

Arguments

dim	Integer vector of positive length, specifying the dimensions of the array.
prob, size, mu	Numeric vector used as the argument of the same name in qnbinom. Alternatively, a numeric array-like object with the same dimensions as dim. Exactly one of prob or mu should be supplied.
chunkdim	Integer vector of length equal to dim, containing the dimensions of each chunk.
sparse	Logical scalar indicating whether the sampled array should be treated as sparse.
seed	A RandomNbinomArraySeed object.

Value

All constructors return an instance of a RandomNbinomArray object, containing random draws from a negative binomial distribution with the specified parameters.

Author(s)

Aaron Lun

See Also

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

Examples

X <- RandomNbinomArraySeed(c(1e5, 1e5), size=10, mu=20)
Y <- DelayedArray(X)
Y

# Fiddling with the distribution parameters:
X2 <- RandomNbinomArraySeed(c(1e5, 1e5), size=10, mu=runif(1e5), sparse=TRUE)
Y2 <- DelayedArray(X2)
Y2

# Using another array as input:
library(Matrix)
lambda <- rsparsematrix(1e5, 1e5, density=0.00001)
lambda <- abs(DelayedArray(lambda)) + 0.1
X3 <- RandomNbinomArraySeed(c(1e5, 1e5), size=1, mu=lambda)
Y3 <- DelayedArray(X3)
Y3

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