noisy_or: Calculating the probability of transition from multiple nodes...
In treeHMM: Tree Structured Hidden Markov Model

Description Usage Arguments Value Examples

View source: R/forward.R

Calculating the probability of transition from multiple nodes to given node in the tree

1	noisy_or(hmm, prev_state, cur_state)

`hmm`	Object of class List given as output by `initHMM`,
`prev_state`	vector containing state variable values for the previous nodes
`cur_state`	character denoting the state variable value for current node

The Noisy_OR probability for the transition

tmat = matrix(c(0,0,1,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0),
               5,5, byrow= TRUE ) #for "X" (5 nodes) shaped tree
hmmA = initHMM(c("P","N"),list(c("L","R")), tmat) #one feature with two discrete levels "L" and "R"
Transprob = noisy_or(hmmA,c("P","N"),"P") #for transition from P & N simultaneously to P