CONTmLL {nem} | R Documentation |
computes the marginal likelihood of observed phenotypic data given a phenotypic hierarchy.
CONTmLL(Phi, prob.inf, Pe)
Phi |
an adjacency matrix with unit main diagonal |
prob.inf |
matrix of influence probabilities |
Pe |
prior of effect reporter positions in the phenotypic hierarchy |
It computes the marginal likelihood of a single phenotypic hierarchy.
Usually called from within the function score
.
mLL |
marginal likelihood of a phenotypic hierarchy |
pos |
posterior distribution of effect positions in the hierarchy |
mappos |
Maximum aposteriori estimate of effect positions |
Matthias Maneck
score
, mLL
, FULLmLL
, nem.cont.preprocess
data("BoutrosRNAi2002") pre <- nem.cont.preprocess(BoutrosRNAiExpression,neg.control=1:4,pos.control=5:8) result <- nem(pre$prob.influenced, type="CONTmLL")