Gibbs refresh of the latent normal matrix Z for the
censored-binary (cbin) family, where each actor emits a capped
set of binary nominations. Within every sending row the update honours
three order constraints: a nominated tie has a positive latent value,
every nominated tie dominates every non-nominated tie, and a
non-nominated tie in a row that has not spent its full nomination
budget (odobs < odmax) is held below zero. Reciprocal cells are
coupled through the dyadic correlation rho; the self-loop
diagonal and any missing cells are redrawn from their unconstrained
conditionals.
rZ_cbin_fc(Z, EZ, rho, Y, odmax, odobs)the updated latent matrix, same shape and dimnames as Z.
current latent matrix (square).
conditional mean of Z.
dyadic (within-dyad) correlation.
observed nomination matrix, entries in {0, 1} with
NA for unobserved cells.
nomination cap, a scalar or length-nrow(Z) vector.
observed out-degree per actor.
lame authors