trainHMM: Train a hidden Markov model
In TLBC: Two-Level Behavior Classification

Function to train a HMM classifier from some data and a trained random forest model.

1	trainHMM(labelDir, rf, names, combineStanding=FALSE)

`labelDir`	Path to a directory containing instance-level annotations, i.e., created by the function annotationsToLabels.
`rf`	A random forest model.
`names`	List of participant identifiers to use.
`combineStanding`	If TRUE, combine the labels standing still and standing moving into a single label standing.