Changes in version 0.2.1.9000                      

  - 

                 Changes in version 0.2.1 (2025-08-27)                  

  - Moved blockCV to SUGGESTS
  - Other minor maintenance

                 Changes in version 0.2.0 (2021-10-02)                  

  - Added Ecology & Evolution paper to 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.

                 Changes in version 0.1.0 (2021-03-12)                  

  - 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.

                     Changes in version 0.0.0.9003                      

  - 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

                     Changes in version 0.0.0.9002                      

  - 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

                     Changes in version 0.0.0.9001                      

  - 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.

                     Changes in version 0.0.0.9000                      

  - Launched alpha-version of forestecology package