# transition_table

0th

Percentile

##### 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.)

transition to access transition probabilities and find_clusters for assigning observations to states/clusters.

##### Aliases
• transition_table
• transition_table,EMM,numeric-method
• transition_table,EMM,data.frame-method
• transition_table,EMM,matrix-method
##### Examples
data("EMMsim")

emm <- EMM(threshold=.5)
emm <- build(emm, EMMsim_train)