transition_table
From rEMM v1.011
by Michael Hahsler
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.
 Keywords
 models
Usage
"transition_table"(x, newdata, type = c("probability", "counts", "log_odds"), match_cluster = "exact", prior=TRUE, initial_transition = FALSE)
Arguments
 x
 an
EMM
object.  newdata
 new sequence,
 type
 the measure to return.
 match_cluster
 do the new observations have to fall within
the threshold of the cluster (
"exact"
) or is nearest neighbor used ("nn"
)?  prior
 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.
 initial_transition
 include the initial transition in the table?
Value

A data.frame with three columns (from state, to state and the
transition probability/count.)
See Also
transition
to access transition probabilities
and find_clusters
for assigning observations to states/clusters.
Examples
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))
Community examples
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