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Code for fitting and assessing models for the growth of trees. In particular for the Bayesian neighborhood competition linear regression model of Allen (2020): methods for model fitting and generating fitted/predicted values, evaluating the effect of competitor species identity using permutation tests, and evaluating model performance using spatial cross-validation.
Version: | 0.2.0 |
Depends: | R (≥ 3.2.4) |
Imports: | magrittr, rlang, glue, ggplot2, stringr, dplyr, tidyr, purrr, ggridges, mvnfast, sf, sfheaders, snakecase, tibble, yardstick, blockCV, forcats, patchwork |
Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, covr |
Published: | 2021-10-02 |
DOI: | 10.32614/CRAN.package.forestecology |
Author: | Albert Y. Kim |
Maintainer: | Albert Y. Kim <albert.ys.kim at gmail.com> |
BugReports: | https://github.com/rudeboybert/forestecology/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/rudeboybert/forestecology |
NeedsCompilation: | no |
Citation: | forestecology citation info |
Materials: | NEWS |
CRAN checks: | forestecology results |
Package source: | forestecology_0.2.0.tar.gz |
Windows binaries: | r-devel: forestecology_0.2.0.zip, r-release: forestecology_0.2.0.zip, r-oldrel: forestecology_0.2.0.zip |
macOS binaries: | r-release (arm64): forestecology_0.2.0.tgz, r-oldrel (arm64): forestecology_0.2.0.tgz, r-release (x86_64): forestecology_0.2.0.tgz, r-oldrel (x86_64): forestecology_0.2.0.tgz |
Old sources: | forestecology archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.