makeSimulatedFraserDataSet {FRASER} | R Documentation

## Create an simulated example data set for FRASER

### Description

Simulates a data set based on random counts following a beta binomial (or Dirichlet-Multinomial) distribution.

### Usage

    makeSimulatedFraserDataSet(
      m = 100,
      j = 500,
      q = 10,
      distribution = c("BB", "DM"),
      ...
    )

### Arguments

`m` | Number of simulated samples
`j` | Number of simulated junctions
`q` | number of simulated latent variables.
`distribution` | Either "BB" for a beta-binomial simulation or "DM" for a dirichlet-multinomial simulation.
`...` | Further arguments used to construct the FraserDataSet.

### Value

An FraserDataSet containing an example dataset based on simulated data

### Examples

    # A generic dataset
    fds1 <- makeSimulatedFraserDataSet()
    fds1

    # A generic dataset with specificed sample size and injection method
    fds2 <- makeSimulatedFraserDataSet(m=10, j=100, q=3)
    fds2

[Package FRASER version 1.4.0 Index]