synthetic longitudinal binary relational data (latent-scale)

a synthetic 50-actor, 4-period dataset used by the vignettes. The shipped Y array holds the latent probit-scale predictor (range roughly -24 to 20), not 0/1 ties. To recover the binary tie indicator the dataset name implies, threshold at zero: Y_bin <- (YX_bin_long$Y > 0) * 1. If passed unthresholded to lame(..., family = "binary") the fit will warn and silently apply the same Y > 0 threshold.

Usage

data(YX_bin_long)

Format

A list with two elements:

Y

Numeric array [50, 50, 4]. Latent probit-scale predictor; threshold at 0 to get the binary tie indicator.

X

Numeric array [50, 50, 3, 4] of dyadic covariates.

Examples

data(YX_bin_long)
# threshold latent z to 0/1 before computing binary GOF stats
Yt <- 1 * (YX_bin_long$Y[, , 1] > 0)
diag(Yt) <- NA
gof_stats(Yt)
#>  sd.rowmean  sd.colmean    dyad.dep   cycle.dep   trans.dep 
#> 0.098854028 0.083875884 0.039461682 0.001059680 0.003684353