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:Rampal S. Etienne & Bart Haegeman

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-4.5-any)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:
  • datasets - Data sets of various tropical forest communities
  • fitresults - Maximum likelihood estimates and corresponding likelihood values for various fits to various tropical forest communities

On CRAN:

Conda:

3.00 score 6 scripts 178 downloads 6 exports 42 dependencies

Last updated 5 years agofrom:f220249e82. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 10 2025
R-4.5-winOKFeb 10 2025
R-4.5-macOKFeb 10 2025
R-4.5-linuxOKFeb 10 2025
R-4.4-winOKFeb 10 2025
R-4.4-macOKFeb 10 2025
R-4.3-winOKFeb 10 2025
R-4.3-macOKFeb 10 2025

Exports:convert_fa2sfintegral_peakSADISA_loglikSADISA_MLSADISA_simSADISA_test

Dependencies:apeBHcliclusterGenerationcodacodetoolscombinatcpp11DDDDEoptimdeSolvedigestdoParallelexpmfastmatchforeachgenericsglueigraphiteratorslatticelifecyclemagrittrmapsMASSMatrixmnormtnlmenumDerivoptimParallelphangornphytoolspkgconfigpracmaquadprogRcppRcppEigenrlangscatterplot3dSparseMsubplexvctrs

Using SADISA

Rampal S. Etienne

Rendered fromdemo.Rmdusingknitr::knitron Feb 10 2025.

Last update: 2019-03-14
Started: 2018-10-12