Extract a Transition Table for a New Sequence Given an EMM
Finds the state sequence of a new sequence in an EMM and returns a table with the transition probabilities or counts.
"transition_table"(x, newdata, type = c("probability", "counts", "log_odds"), match_cluster = "exact", prior=TRUE, initial_transition = FALSE)
- new sequence,
- the measure to return.
- do the new observations have to fall within
the threshold of the cluster (
"exact") or is nearest neighbor used (
- add one to each transition count. This is equal to starting with a uniform prior for the transition count distribution, i.e. initially all transitions are equally likely. It also prevents the product of probabilities to be zero if a transition was never observed.
- include the initial transition in the table?
A data.frame with three columns (from state, to state and the
data("EMMsim") emm <- EMM(threshold=.5) emm <- build(emm, EMMsim_train) head(transition_table(emm, EMMsim_test)) head(transition_table(emm, EMMsim_test, type ="prob", initial_transition=TRUE))
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