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-4.7)SADISA_1.2.zip(r-4.6)SADISA_1.2.zip(r-4.5)
SADISA_1.2.tgz(r-4.6-any)SADISA_1.2.tgz(r-4.5-any)
SADISA_1.2.tar.gz(r-4.7-any)SADISA_1.2.tar.gz(r-4.6-any)
SADISA_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 150 downloads 6 exports 43 dependencies

Last updated from:f220249e82. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK146
source / vignettesOK194
linux-release-x86_64OK151
macos-release-arm64OK125
macos-oldrel-arm64OK142
windows-develOK120
windows-releaseOK101
windows-oldrelOK101
wasm-releaseOK127

Exports:convert_fa2sfintegral_peakSADISA_loglikSADISA_MLSADISA_simSADISA_test

Dependencies:apeBHcliclusterGenerationcodacodetoolscombinatcpp11DDDDEoptimdeSolvedigestdoParallelexpmfastmatchforeachgenericsglueigraphiteratorslatticelifecyclemagrittrmapsMASSMatrixmnormtnlmenumDerivoptimParallelphangornphytoolspkgconfigpracmapsoquadprogRcppRcppEigenrlangscatterplot3dSparseMsubplexvctrs

Using SADISA

Rampal S. Etienne

Rendered fromdemo.Rmdusingknitr::knitron May 27 2026.

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