forestecology: Methods and Data for Forest Ecology Model Fitting and Assessment

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: 0.1.0
Depends: R (≥ 3.2.4)
Imports: magrittr, rlang, glue, ggplot2, stringr, dplyr, tidyr, proxy, purrr, ggridges, mvnfast, sf, sfheaders, snakecase, tibble, yardstick, blockCV, forcats, patchwork
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2021-03-12
Author: Albert Y. Kim ORCID iD [aut, cre], David Allen ORCID iD [aut], Simon Couch ORCID iD [aut]
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

Downloads:

Reference manual: forestecology.pdf
Vignettes: The 'forestecology' R package for fitting and assessing neighborhood models of the effect of interspecific competition on the growth of trees
Package source: forestecology_0.1.0.tar.gz
Windows binaries: r-devel: forestecology_0.1.0.zip, r-release: forestecology_0.1.0.zip, r-oldrel: forestecology_0.1.0.zip
macOS binaries: r-release: forestecology_0.1.0.tgz, r-oldrel: forestecology_0.1.0.tgz

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