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
- forestecology 0.0.0.9000: First version
- Launched alpha-version of
forestecology package