Update latent states
updateS(
iter,
s,
V,
m,
Zb,
Zt,
Time,
MU.state,
P,
s2,
N.upper.tri,
random.perturb
)iteration number
the most recent latent states
Network generation rules
The number of breaks
Z - b
Z stacked by time
The length of time
UVU for each state
Transition matrix
error variance
The number of upper triangular elements
If random.perturb = TRUE and a single state observation is found,
the latent state is randomly selected by equal weights.
A list of vectors containing latent states and their probabilities