Calculation of the log conditional density of the
latent AMEN matrix Z given observed data Y.
Usage
ldZgbme(Z, Y, llYZ, EZ, rho, s2 = 1)
Value
a symmetric matrix where entry i,j is proportional
to the log conditional bivariate density of z[i,j],z[j,i].
Arguments
Z
n X n latent relational matrix following an AMEN model
Y
n X n observed relational matrix
llYZ
a vectorizable function taking two arguments, y and z. See details below.
EZ
n X n mean matrix for Z based on AMEN model (including additive effects)
rho
dyadic correlation in AMEN model for Z
s2
residual variance in AMEN model for Z
Author
Peter Hoff
Details
This function is used for updating dyadic pairs of
the latent variable matrix Z based on Y and
an AMEN model for Z. The function llYZ specifies
the log likelihood for each single z[i,j] based on
y[i,j], that is, llYZ gives the log probability
density (or mass function) of y[i,j] given z[i,j].