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Species Abundance Distributions with Independent-Species Assumption

0packages depend
2.2Kdownloads / year
0.0%test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Rampal S. Etienne <r.s.etienne@rug.nl>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("Rampal", "S.", "Etienne", "&", "Bart"),
                      family = "Haegeman",
                      role = "aut"),
               person(given = c("Rampal", "S."),
                      family = "Etienne",
                      role = "cre",
                      email = "r.s.etienne@rug.nl"))
as necessary.

CRAN check page ↗

Slowest check: 1.2 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.2
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
8
Examples that run
100%2 run in a plain check
Exported functions with examples
33%
Documented parameters
98%
Return-value docs
67%
Help pages citing references
75%
Vignettes (1)

Downloads

2.2K
CRAN downloads in the past year
Rank #20,491 · ~6/day · ~187/mo
Daily download trend is not available in this view yet.
22630 days
65290 days
2.2K1 year
Compare downloads with other packages →
Also on67 r2u2 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing SADISA adds 38 packages (21 with compiled code, 36 MB of source tarballs). Heaviest: BH 14 MB, igraph 4.8 MB, maps 2.2 MB.

Depends (1)
R >= 3.5
Imports (2)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (2)

Maintainer since 1.0 (2017)

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.2Latest
    record
    2019-10-23 · current release · diff ↗ ·
    removed 1 export
    pmdl_sim
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1
    record
    2019-04-04 · diff ↗ ·
    added 3 exports
    SADISA_sim, convert_fa2sf, pmdl_sim
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0
    record
    2017-04-22
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-04-22
Total releases
3 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5
Bundled data
9.8 KB / 2 files
Download size
42 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SADISA")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SADISA version 1.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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