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]