Package: partitionBEFsp 1.0
partitionBEFsp: Methods for Calculating the Loreau & Hector 2001 BEF Partition
A collection of functions that can be used to estimate selection and complementarity effects, sensu Loreau & Hector (2001) <doi:10.1038/35083573>, even in cases where data are only available for a random subset of species (i.e. incomplete sample-level data). A full derivation and explanation of the statistical corrections used here is available in Clark et al. (2019) <doi:10.1111/2041-210X.13285>.
Authors:
partitionBEFsp_1.0.tar.gz
partitionBEFsp_1.0.zip(r-4.5)partitionBEFsp_1.0.zip(r-4.4)partitionBEFsp_1.0.zip(r-4.3)
partitionBEFsp_1.0.tgz(r-4.4-any)partitionBEFsp_1.0.tgz(r-4.3-any)
partitionBEFsp_1.0.tar.gz(r-4.5-noble)partitionBEFsp_1.0.tar.gz(r-4.4-noble)
partitionBEFsp_1.0.tgz(r-4.4-emscripten)partitionBEFsp_1.0.tgz(r-4.3-emscripten)
partitionBEFsp.pdf |partitionBEFsp.html✨
partitionBEFsp/json (API)
# Install 'partitionBEFsp' in R: |
install.packages('partitionBEFsp', repos = c('https://adamtclark.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:d3f83eaab5. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:calculate_DRYclassic_partitionpopulation_to_sample_partitionsample_to_population_partition
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculate change in relative yield | calculate_DRY |
Calculate classic partition | classic_partition |
partitionBEFsp: A package for calculating the Loreau & Hector 2001 BEF partition. | partitionBEFsp-package partitionBEFsp |
Calculate sample-level partition | population_to_sample_partition |
Calculate population-level partition | sample_to_population_partition |