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Deal R Users, I'm trying to find out how can I compute probabilities on a Bayesian Network using R. The Bayesian Network I modelled is shown at http://www.dsr.inpe.br/~mello/1727/BNgrapmodel.png and I'd like to know how can I proceed (commands on R) to answer questions like: (1) what is the probability of S=T given C=T, L=T, R=F, H=F and D=F; or (2) what is the probability of S=T

Can somebody save-me? Thanks in advance! #R script: #trying to find out how solve a discrete Bayesian Belief Network. #option: using 'catnet' package #BEGIN library(catnet) cnet <- cnNew(nodes = c("a", "b", "c"), cats = list(c("1", "2"), c("1", "2"), c("1", "2")), parents = list(NULL, c(1), c(1,