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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.