Synthetic longitudinal binary relational data, list-form (latent-scale)

The list-form sibling of YX_bin_long: same synthetic 4-period 50-actor panel reshaped from arrays to lists. The shipped Y entries hold the latent probit-scale predictor (range roughly -20 to 17), not 0/1 ties. To recover the binary tie indicator the dataset name implies, threshold at zero, e.g. Y_bin <- lapply(YX_bin_list$Y, function(Yt) 1 * (Yt > 0)). If passed unthresholded to lame(..., family = "binary") the fit will warn and silently apply the same Y > 0 threshold.

Format

A list with two elements:

Y

List of 4 numeric matrices, each [50, 50], with NA on the diagonal. Latent probit-scale predictor; threshold at 0 for the binary indicator.

X

List of 4 numeric arrays, each [50, 50, 3] of dyadic covariates.