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