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.