NetworkChange: updateS – R documentation

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updateS

Update latent states

Update latent states

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

`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.

A list of vectors containing latent states and their probabilities

Bayesian Package for Network Changepoint Analysis

v0.7

GPL-3

Authors

Jong Hee Park [aut,cre], Yunkyu Sohn [aut]

Initial release

2020-07-09 14:17:31 UTC