Package: SADISA 1.2
SADISA: Species Abundance Distributions with Independent-Species Assumption
Computes the probability of a set of species abundances of a single or multiple samples of individuals with one or more guilds under a mainland-island model. One must specify the mainland (metacommunity) model and the island (local) community model. It assumes that species fluctuate independently. The package also contains functions to simulate under this model. See Haegeman, B. & R.S. Etienne (2017). A general sampling formula for community structure data. Methods in Ecology & Evolution 8: 1506-1519 <doi:10.1111/2041-210X.12807>.
Authors:
SADISA_1.2.tar.gz
SADISA_1.2.zip(r-4.5)SADISA_1.2.zip(r-4.4)SADISA_1.2.zip(r-4.3)
SADISA_1.2.tgz(r-4.4-any)SADISA_1.2.tgz(r-4.3-any)
SADISA_1.2.tar.gz(r-4.5-noble)SADISA_1.2.tar.gz(r-4.4-noble)
SADISA_1.2.tgz(r-4.4-emscripten)SADISA_1.2.tgz(r-4.3-emscripten)
SADISA.pdf |SADISA.html✨
SADISA/json (API)
# Install 'SADISA' in R: |
install.packages('SADISA', repos = c('https://rsetienne.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rsetienne/sadisa/issues
- datasets - Data sets of various tropical forest communities
- fitresults - Maximum likelihood estimates and corresponding likelihood values for various fits to various tropical forest communities
Last updated 4 years agofrom:f220249e82. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:convert_fa2sfintegral_peakSADISA_loglikSADISA_MLSADISA_simSADISA_test
Dependencies:apeBHcliclusterGenerationcodacodetoolscombinatcpp11DDDDEoptimdeSolvedigestdoParallelexpmfastmatchforeachgenericsglueigraphiteratorslatticelifecyclemagrittrmapsMASSMatrixmnormtnlmenumDerivoptimParallelphangornphytoolspkgconfigpracmaquadprogRcppRcppEigenrlangscatterplot3dSparseMsubplexvctrs