dncMAP: MAP estimates
In dnc: Dynamic Network Clustering

(Re-)Compute the maximum a posteriori (MAP) estimates for a dnc object. Primarily intended as an internal function called from dnc(...).

1	dncMAP(dncObj)

dncObj

A dnc class object

A list with the following elements:

alpha: Intercept
X: Latent positions
s: Receiver scaling effects
tau: Latent precision parameters
sigma2: Initial latent position variance (if M=0 only)
r: Magnitude of mean latent positions (if M>0 only)
u: Unit vectors defining communities (if M>0 only)
Z: Community assignments (if M>0 only)
beta: Initial cluster assignment probabilities (row 1) and transition probability matrix (rows 2 to M) (if M>0 only)