NEWS

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dimoose 0.1.0

• First release.
• Renamed from moose, because CRAN has an unrelated package of that name. The key class is now dimoose (dimoose$new(), inherits(x, "dimoose")), the S3 classes are dimooseVisionModel, dimooseTerms and dimooseSniglets, the vision tests read DIMOOSE_CLIP_WEIGHTS, and the repository is https://github.com/leipzig/dimoose. The first argument of exportWizard() is now key.
• Dichotomous keys as dimoose objects: build them from lead tables (keyFromLeads()), classification trees (keyFromRpart(), generateTree()) or FishBase (importFishbase(), parseFishbase()), then validate, summarise and convert them to data.tree, Newick, igraph, treedata and Auspice JSON.
• Example keys and datasets: sharks (FishBase key 1), Arachnida orders, Vibrio (Noguerola & Blanch 2008) and PhyloTree Build 17.
• exportWizard() writes a self-contained, mobile-friendly HTML key.
• Automated key generation from photos: sniglets, recurring visual features given coined names (discoverSniglets(), keyFromSniglets()) that can be renamed afterwards (renameSniglets()); vocabulary questions (keyFromClusters()); machine classification and evaluation (classify(), evaluateKey(), looKey()); and an optional open_clip vision layer through reticulate (visionModel()), including BioCLIP.
• Automated key generation from a multiple sequence alignment (keyFromAlignment()), with the tree built by ape, phangorn, FastTree or IQ-TREE.
• Mixed-effects conditional inference trees (mecit(), keyFromMecit()) and simulated expression data on PhyloTree (simulateExpression()).