simulateMultivariate {chromstaR} | R Documentation

## Simulate multivariate data

### Description

Simulate known states, read counts and read coordinates using a multivariate Hidden Markov Model.

### Usage

    simulateMultivariate(
      bins,
      transition,
      emissions,
      weights,
      correlationMatrices,
      combstates,
      IDs,
      fragLen = 50
    )

### Arguments

`bins` | A `GRanges-class` object for which reads will be simulated.
`transition` | A matrix with transition probabilities.
`emissions` | A list() with data.frames with emission distributions (see `uniHMM` entry 'distributions').
`weights` | A list() with weights for the three univariate states.
`correlationMatrices` | A list with correlation matrices.
`combstates` | A vector with combinatorial states.
`IDs` | A character vector with IDs.
`fragLen` | Length of the simulated read fragments.

### Value

A `list()` with entries $bins containing the simulated states and read count, $reads with simulated read coordinates.

[Package chromstaR version 1.18.0 Index]