NEWS
netify 1.5.3 (2026-06-30)
- CRAN resubmission: shorten
plot.netify(), compare_networks(), and
netify_to_statnet() examples so they run quickly on CRAN Windows checks.
netify 1.5.2
- CRAN resubmission: remove the obsolete C++11 standard request and
update DESCRIPTION wording flagged by CRAN incoming checks.
netify 1.5.1
- Fixed
unnetify() and plot() for bipartite networks so ties in
same-position row and column entries are kept. These entries are valid
cross-mode ties, not diagonal self-ties.
netify 1.5
- New worked example dataset (
classroom_edges, classroom_nodes) and a
matching short-form vignette (quickstart_inference) for quick onboarding.
- Index of common pipelines available at
?netify_workflows, covering
unipartite, bipartite, longitudinal, and multilayer setups, plus
handoff to statnet, amen, lame, dbn, and igraph.
to_lame() now bundles posterior round-tripping via from_lame_fit(),
including bootstrap and per-cell credible-interval bounds for binary
bipartite fits.
bind_netifies() gains align_actors = c("none", "union", "intersection") for combining cross-sections with mismatched actor
sets.
- New helpers:
drop_na_actors(), binarize(), validate_netify(),
bootstrap_netlet(), compare_to_null(), simulate.netify(), plus
type predicates (is_binary(), is_bipartite(), is_longitudinal(),
is_multilayer(), n_actors(), n_periods(), n_layers()) and
accessors (nodal_data()).
- tidyverse and broom interop:
as_tibble.netify(), tidy.netify(),
glance.netify(), plus as.igraph.netify() and as.network.netify()
S3 methods registered automatically when the relevant package is
attached.
- Plotting picks up
style = "heatmap" for adjacency-matrix views,
auto-diverging palettes for signed weights, smarter label-repel for
small networks, and two extra themes (theme_publication_netify(),
theme_publication_netify_ts()).
summary_actor() gains a stats = "fast" mode (skips the expensive
centralities) and auto-promotes for networks above
getOption("netify.fast_threshold", 1500).
- Vignettes expanded and reorganized:
pipeline_netify_ergm,
pipeline_lame_dbn, multilayer_networks, tracking_changes,
attribute_analysis, manual_plotting, and internals are all new
or substantially rewritten.