R: Imputation of multivariate panel or cluster data
pan.bd
R Documentation
Imputation of multivariate panel or cluster data
Description
Implementation of pan() that restricts the covariance matrix
for the random effects to be block-diagonal. This function
is identical to pan() in every way except that psi is now
characterized by a set of r matrices of dimension q x q.
Same as for pan() except that the hyperparameters for psi
have new dimensions. The hyperparameter c is now a vector of
length r, where c[j] contains the prior degrees of freedom for
the jth block portion of psi (j=1,...,r). The hyperparameter
Dinv is now an array of dimension c(q,q,r), where Dinv[,,j]
contains the prior scale matrix for the jth block portion of
psi (j=1,...,r).
seed
See description for pan().
iter
See description for pan().
start
See description for pan().
Value
A list with the same components as that from pan(), with two
minor differences: the dimension of "psi" is now (q x q x r x
"iter"), and the dimension of "last$psi" is now (q x q x r).