updateS function

Update latent states

updateS(
  iter,
  s,
  V,
  m,
  Zb,
  Zt,
  Time,
  MU.state,
  P,
  s2,
  N.upper.tri,
  random.perturb
)

Arguments

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

Returns

A list of vectors containing latent states and their probabilities