update: 2026/08/04
multinethist()
common_f option assumes a common graphon across
layers.igraph/network objects, and
ergm.multi::combined_networks object.nethist()
method = "LSE" option, implementing Gao et
al. (2015) for single-layer network histograms.multinethist().hnethist(): new hybrid network histogram method for
shape-based model selection.fitted(): new S3 method for nethist and
multinethist objects.IndianVil, a multilayer network.summary() -> covariate_plot()violin_netsummary() ->
netsummary_plot()netsummary_plot() (formerly
violin_netsummary()): return 0 instead of NaN when a
subsampled network is empty.netsummary_plot(): x-axis values are now shown as
igraph plots of v-shapes and cycles instead of labels.LSE to MSE in
nethist/multinethist objects.multinethist(): reject plain
matrix/Matrix elements in list input, since
vertex ordering across layers cannot be verified.update: 2023/04/04
-bug fix in plot()
update: 2023/03/15
update: 2022/12/08
plot.nethist()
p_mat of
nethist objects by setting prob=TRUE. Use
prob.col and prob.cex to set the color and
size of text, respectively.nethist()
update: 2022/11/26
nethist() is faster than earlier
by computing hamming distance from the (simple) adjacency matrix instead
of Manhattan distance.update: 2022/11/19
nethist() and
violin_netsummary() are improved.nethist(): computation of the diagonal part o in greedy
search Rcpp routine is fixed.nethist(): computation of log-likelihood when there is
a smaller size of group is fixed, in greedy search Rcpp
routine.update: 2022/11/08
violin_netsummary().update: 2022/11/04
nethist R package (development)