newSim: Simulate counts from a negative binomial model

In NewWave: Negative binomial model for scRNA-seq

Description

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

Usage

newSim(object, seed, ...)

## S4 method for signature 'newmodel'
newSim(object, seed)

Arguments

object	an object that describes a matrix of 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)

• newmodel: simulate from a nb distribution.

Examples

a <- newmodel(n=5, J=10)
newSim(a)

NewWave documentation built on Dec. 26, 2020, 6 p.m.