MadSeq-class {MADSEQ} | R Documentation

## The MadSeq class

### Description

An S4 class contains estimated result returned from `runMadSeq` function

### Slots

`posterior`

  A `matrix` contains the posterior distribution from the selected model

`deltaBIC`

  A `numeric vector` contains the deltaBIC value between selected model and other models. The deltaBIC between models indicate the confidence level that selected model against other models: deltaBIC ~ [0,2]: Not worth more than a bare mention deltaBIC ~ [2,6]: Positive deltaBIC ~ [6,10]: Strong deltaBIC >10: Very Strong

### Accessors

In the code below, `x` is a `MadSeq` object.
`posterior(x)`: Get the matrix containing posterior distribution of selected model.
`deltaBIC(x)`: Get the deltaBIC between selected model and other models

### Summary

In the code below, `x` is a `MadSeq` object.
`summary(x)`: summarize the posterior distribution

### MadSeq Methods

In the code below, `x` is a `MadSeq` object.
`plotMadSeq(x)`: Plot the posterior distribution of all parameters in selected model.
`plotFraction(x)`: Plot the estimated distribution of the fraction of aneuploid sample.
`plotMixture(x)`: Plot the distribution of AAF estimated from the selected model.

### Author(s)

Yu Kong

### See Also

`runMadSeq`, `plotMadSeq`

[Package MADSEQ version 1.16.0 Index]