CONTmLL {nem} | R Documentation

## Marginal likelihood of a phenotypic hierarchy with continuous data

### Description

computes the marginal likelihood of observed phenotypic data given a phenotypic hierarchy.

### Usage

    CONTmLL(Phi, prob.inf, Pe)

### Arguments

`Phi` | an adjacency matrix with unit main diagonal
`prob.inf` | matrix of influence probabilities
`Pe` | prior of effect reporter positions in the phenotypic hierarchy

### Details

It computes the marginal likelihood of a single phenotypic hierarchy. Usually called from within the function `score`.

### Value

`mLL` | marginal likelihood of a phenotypic hierarchy
`pos` | posterior distribution of effect positions in the hierarchy
`mappos` | Maximum aposteriori estimate of effect positions

### Author(s)

Matthias Maneck

### References

### See Also

`score`, `mLL`, `FULLmLL`, `nem.cont.preprocess`

### Examples

       data("BoutrosRNAi2002")
       pre <- nem.cont.preprocess(BoutrosRNAiExpression,neg.control=1:4,pos.control=5:8)
       result <- nem(pre$prob.influenced, type="CONTmLL")

[Package nem version 2.2.1 Index]