MAP estimates

Share:

Description

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

Usage

1
dncMAP(dncObj)

Arguments

dncObj

A dnc class object

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)