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forestecology 0.2.0: Ecology and Evolution

• Added Ecology & Evolution paper https://doi.org/10.1002/ece3.8129
• Made choice of competitor explanatory variable more flexible by adding create_focal_vs_comp(comp_x_var = ...) argument.

forestecology 0.1.0: First CRAN submission

• Switched CI from travis to GitHub actions
• Refactored spatial cross-validation in run_cv() to use purrr::map_dfr() using the fit_one_fold() function
• Transition modeling, prediction, and plotting functions from generics to S3 methods for the comp_bayes_lm class.
• Aligned inputs and outputs of modeling and prediction functions with S3 modeling conventions and tidy data principles. Namely,
  • The comp_bayes_lm() modeling function takes in a data frame at a level of observation equivalent to that which the model is actually fit to: each row is a unique focal observation/tree rather than focal-competitor observation pairs/trees. The function outputs a model object with several associated modeling S3 methods.
  • predict.comp_bayes_lm() takes in a model object as its first argument and input data as its second argument. The output, an unnamed vector, has length equal to the input data.
• Added argument checks.

Previous versions (not tagged nor released)

• forestecology 0.0.0.9003: “Bad first draft” of package paper
  • Completed “bad first draft” of paper on package itself, including Michigan Big Woods & SCBI running examples
  • Further refactoring of alpha-version of forestecology package code
• forestecology 0.0.0.9002: Created Michigan Big Woods & SCBI data modeling examples
  • Got Smithsonian Conservation Biology Institute (loaded as CSV’s directly from SCBI GitHub) example model working
  • Got Michigan Big Woods data (data from University of Michigan Deep Blue Data repository pre-loaded in package) example model working
  • Go toy example model working in README
  • Second pass at clean-up of package
• forestecology 0.0.0.9001: Replicated Allen & Kim (2020) PLOS One results
  • Replicated analysis and results for PLOS One A permutation test and spatial cross-validation approach to assess models of interspecific competition between trees (Allen and Kim 2020) successfully using package code.
• forestecology 0.0.0.9000: First version
  • Launched alpha-version of forestecology package

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They may not be fully stable and should be used with caution. We make no claims about them.