netify 1.5.3

• 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.