Changes in version 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()).