ep.parental.list: Posterior edge probabilities.

In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.

Description

Calculate edge probabilities given a list of parental graphs (of class parental.list)

Usage

  ## S3 method for class 'parental.list'
 ep(x, nbin = 1, start = 1,
    end = length(x), verbose = F, ...)

Arguments

x	A parental.list
nbin	The number of equally-sized bins into which parental.list into before computing the edge probabilities of each
start	An integer of length 1, specifying the amount of burn-in. The samples start:end inclusive will be used.
end	An integer of length 1, specifying the number of samples at the end to ignore. The samples start:end inclusive will be used.
verbose	...
...	Further arguments (unused)

Value

if nbin == 1: A matrix of class 'ep' with entry (i,j) containing the probability of an edge from node i –> j if nbin > 1: A list of class ep.list, containing matrices as described above for each of the nbin bins into which the parental.list was split

See Also

ep

rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.