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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)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.