zinbSim: Simulate counts from a zero-inflated negative binomial model

In drisso/zinbwave: Zero-Inflated Negative Binomial Model for RNA-Seq Data

Simulate counts from a zero-inflated negative binomial model

Description

Given an object that describes zero-inflated negative binomial distribution, simulate counts from the distribution.

Usage

zinbSim(object, seed, ...)

## S4 method for signature 'ZinbModel'
zinbSim(object, seed)

Arguments

object	an object that describes a matrix of zero-inflated negative binomial.
seed	an optional integer to specify how the random number generator should be initialized with a call to set.seed. If missing, the random generator state is not changed.
...	additional arguments.

Value

A list with the following elements.

• countsthe matrix with the simulated counts.

• dataNBthe data simulated from the negative binomial.

• dataDropoutsthe data simulated from the binomial process.

• zeroFractionthe fraction of zeros.

Methods (by class)

• zinbSim(ZinbModel): simulate from a ZINB distribution.

Examples

a <- zinbModel(n=5, J=10)
zinbSim(a)

drisso/zinbwave documentation built on March 18, 2024, 5:13 p.m.