NEWS

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forestecology 0.2.3.9000

forestecology 0.2.3 (2026-08-24)

• Replaced missed blockCV::spatialBlock() in test-readme.
• Removed non-standard etc/ directory and leftover log file from the package build.
• Replaced deprecated use of .data[[]] with dplyr::all_of()
• Updated paper/ code to use blockCV::cv_spatial()

forestecology 0.2.2 (2026-08-19)

• Replaced deprecated blockCV::spatialBlock() with blockCV::cv_spatial() for compatibility with blockCV 4.0.
• Included Big Woods data directly because Deep Blue Data was blocking R/curl.

forestecology 0.2.1 (2025-08-27)

• Moved blockCV to SUGGESTS
• Other minor maintenance

forestecology 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.

forestecology 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.

forestecology 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

forestecology 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

forestecology 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.

forestecology 0.0.0.9000

• Launched alpha-version of forestecology package