NEWS.md

In metaweave: Spatial Ecological Network Inference

metaweave 1.0.0

• Clarify that maxent_model() remains experimental. Its fixed-link route samples uniformly under an exact link-count constraint, while the degree-sequence route uses approximate swap-chain sampling without a built-in convergence diagnostic. No algorithm behavior changes in this update.
• Keep existing compatibility functions available in the 1.0 API. rarefied_network_metric() remains experimental.
• Tighten validation of assemblage names and coordinates, ecological-network entries, block probabilities, and distribution rasters. Empty network collections now retain typed index and metric columns, including when no spatial cells qualify.
• Record species excluded from pair-matrix and block-model predictions in network metadata. Validate simulation counts and seeds, and restore the caller's random state after seeded count simulation.

metaweave 0.4.1

• Prepare the first CRAN submission with updated maintainer metadata.
• Replace publication vignettes with one self-contained spatial tutorial.
• Exclude repository website files from the source archive.
• Document returned objects for public workflow functions.
• Summaries exclude forbidden self-links when self_links = FALSE, using species identity. Unrestricted networks and plain matrices are unchanged.

metaweave 0.4.0

• Adds maxent_model() for directed maximum-entropy ensembles constrained by connectance, link count, or degree sequences.
• Supports directed unipartite food webs, optional self-links, locally isolated random streams, and optional retention of ensemble members.
• Extends ecological_network objects with explicit directed and self_links fields.
• Adds validation, unit tests, and a reproducible maximum-entropy vignette.

metaweave 0.3.0

• Renames the package and framework from rangerast to MetaWeave.
• Positions the package around weaving regional ecological information into local spatial networks.
• Adds probability_matrix_model() for direct use of named species-pair probability matrices, including ensemble predictions from external models.
• Adds a self-contained methods and simulation vignette covering inference, spatial reconstruction, sampling error, and standardized metrics.

rangerast 0.2.0

• Generalizes bipartite inference from hard-coded palm and mammal groups to arbitrary named ecological groups.
• Adds block_model() and local_block_network() as the generic block-model API.
• Adds reconstruct_networks() and run_spatial_inference() as generic end-to-end workflows.
• Ecological networks now record their row and column group identities.
• Network summaries now expose generic row_richness and column_richness metrics.
• Keeps sbm_model(), local_probability_network(), and the original downscaling wrappers for backward compatibility.
• Fixes network-index construction when coordinate values carry names.

rangerast 0.1.0

• Introduces model-agnostic objects for distributions, assemblages, inference models, ecological networks, network collections, and spatial results.
• Adds spatial assembly and range-rasterization utilities.
• Adds the stochastic block model inference backend.
• Adds simulation, network summaries, spatial mapping, and compatibility wrappers for the original downscaling workflow.

metaweave documentation built on Nov. 3, 2026, 9:06 a.m.