Like rUV_dynamic_fc but lets each actor's latent position either drift
under the AR(1) prior or jump under a diffuse N(0, kappa^2) snap prior, chosen
per actor-period by a Gaussian log-marginal model selection.
rUV_dynamic_snap_fc(
U,
V,
ET,
rho_uv,
sigma_uv,
s2,
kappa,
pi_snap,
delta_u_current = NULL,
delta_v_current = NULL,
shrink = TRUE,
symmetric = FALSE
)list with updated U, V arrays and delta_u, delta_v snap indicators
3D array of current U positions (n x R x T)
3D array of current V positions (n x R x T)
3D array of residuals (n x n x T)
AR(1) autoregressive parameter for the drift prior
Innovation standard deviation for the drift prior
dyadic variance
diffuse snap-prior standard deviation
prior snap probability
current sender-side snap indicators. If NULL,
a zero matrix is used.
current receiver-side snap indicators. If NULL,
a zero matrix is used.
whether to apply shrinkage (default TRUE)
whether the network is symmetric (default FALSE)
Cassy Dorff, Shahryar Minhas, Tosin Salau