Changes in version 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.

                        Changes in version 1.5.2                        

  - CRAN resubmission: remove the obsolete C++11 standard request and
    update DESCRIPTION wording flagged by CRAN incoming checks.

                        Changes in version 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.

                         Changes in version 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.